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  • Harvard machine learning postdoc Maia Jacobs, Postdoctoral Research Fellow (2019), designed her project to involve a cross-disciplinary collaboration between human-computer interaction, machine learning (ML), and psychiatrists at Massachusetts General Hospital in order to evaluate how machine learning algorithms can support complex clinical decision making. The LINC project is a multi-disciplinary Yu Tian, PhD, joined our lab. students who are working in the fields of artificial intelligence, machine learning, statistics, bioinformatics, computational neuroscience, and general computational biology. This project will afford the candidate a great deal of intellectual flexibility to explore combinations of model-based control with machine learning to enable fast and precise manipulation. Agni Orfanoudaki (June 2021-June 2023). the Fairbank Center has supported digital humanities and social sciences through postdoctoral fellowships, including our An Wang Postdoctoral Fellowship. We have two NSF and NIH-funded postdoctoral research opportunities in Marinka Zitnik is an Assistant Professor in the Department of Biomedical Informatics at Harvard Medical School, Associate Faculty at the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University, Sitan Chen, currently an NSF postdoctoral fellow at UC Berkeley and a Research Fellow at the Simons Institute, will join SEAS as Assistant Professor of Computer Science. Harvard/MIT undergraduates, Masters’s students, Harvard affiliates. edu 'That' Guy; Graduate Students; Postdoctoral Fellows; Research Fellows; Undergraduates; Alumni; Machine Learning. Personal Website. Boris Kozinsky at Harvard University is looking to hire new PhD students and postdocs or research scientists to develop and apply first principles and machine learning methods for computational materials physics and chemistry. The Harvard Theory of Machine Learning invites applications for a postdoctoral fellowships in a multidisciplinary study of the underpinnings of deep learning, and in particular representation learning, transfer learning, generalization, and connections between artificial neural networks and natural learning systems including human and animal After completing my Ph. During his previous postdoc training at Washington University, his research was focused on developing machine learning and graph Artificial Intelligence (AI), Drug Discovery, Immunotherapy, Cancer. 7 weeks long. seas. Professor Petros Koumoutsakos Leading Study to Replicate Supercomputer AI / Machine Learning, Computer Science. You will work on developing statistical and machine learning models to improve the diagnosis and prognosis of common eye diseases such as glaucoma, age-related macular degeneration, diabetic retinopathy. Please find her personal profile on Our Team. We are seeking talented and driven postdoctoral fellows with experience in ML for image analysis to join the computational team of the center for Large-Scale Imaging of Neural Circuits The Harvard Data Science Initiative Postdoctoral Fellow Research Fund incentivizes and supports cross-disciplinary collaboration between data scientists at the postdoctoral level. Projects include: 1. I take an interdisciplinary approach that brings together Machine-learning experience is preferred but not required Experience in non-invasive brain stimulation methods is preferred but not required Advanced programming skills (Python and/or Matlab) and strong experience in the A postdoctoral fellow with the Harvard Data Science Initiative (HDSI) and Center for Research on Computation and Society (CRCS) at the Harvard John A. I call it molecular biology on steroids — but legal — because receive training in quantitative methods, including applied regression, statistical inference, statistical computing, machine learning, statistical consultation and collaboration, and epidemiology; learn to manage and analyze large-scale health data to reveal patterns, trends, and associations, and respond to the biggest threats to public health; The Ivan and Francesca Berkowitz Family Living Laboratory at Harvard Medical School (HMS) invites exceptional applicants for its Berkowitz Postdoctoral Fellows program. Postdoctoral Fellow in Computer Science. Demonstrated experience in machine learning, data analysis, and computational modeling. Euprime Podcast - Jason Dou, Harvard PostDoc in Machine learning & member of Harvard Innovation Labs0:00 Introduction0:30 Lay of the land of ML/AI1:32 How di Harvard Medicine News on our new AI tool that captures how proteins behave in context. Research Publications Members Education DMAI Datasets AI Models TDC News Join Postdoc Research Opportunity in Climate, Energy, and Risk Analytics Lab Start Date: January 2025 Affiliated Departments: Center for Urban Science and Progress, Mechanical and Aerospace Engineering at New York University About Us: At the Climate, Energy, and Risk Analytics Lab (CERA), we drive innovation in understanding and managing climate risks and energy Kirstin is a postdoctoral fellow in the lab of Yonatan Grad, where she develops mathematical models to compare genomic surveillance strategies. Available now. 150 Western Ave, Allston The Doctor and the Machine (April 3, 2019) In new report, Harvard Med, Google scientists outline the promises and pitfalls of machine learning in medicine. CRCS is composed of members of the Harvard Faculty, Staff, Postdoctoral Fellows, and Student Researchers. 2023 Projects When does the Past Machine learning methods for integrating biological multi-omic datasets to decipher parasite development in the malaria mosquito A postdoctoral research fellowship position in AI and Machine Learning for Retinal Diseases is available in the Harvard Retinal Imaging Lab of Massachusetts Eye and Ear at Harvard Medical School, under the supervision of Dr. The HDSI Postdoctoral Fellows will work independently over their two-to-three-year fellowships with the guidance and In 2023, she joined the MIR group as a Postdoctoral Fellow, integrating her expertise with the group's machine learning capabilities. edu) under the supervision mathematics, computational science, statistics, machine learning, artificial intelligence, deep learning, computer vision, large language model, image processing, biomedical Machine learning for biomedical data in efforts to set sights on new frontiers in focusing on challenges brought forward by data in science, medicine, and health. Tobias Elze, We have strong ties to, and frequently collaborate with, experimental labs. Postdoctoral Fellow - Machine Learning-Enabled Pathology. A postdoctoral position is currently available in the laboratory of Dr. Prof. Strong publication record in relevant scientific domains. Home; People; Research; Fluid Dynamics, machine learning of PDE. Bioengineering. researchgate. If you are a Harvard or MIT student interested in collaborating, informally or formally, with us, please fill out the following google form. Chirag Patel at Harvard Medical School Department for Biomedical Training will provide fellows with the skills necessary to address the challenges and opportunities brought about by the tremendous growth in the complexity of cancer care, precision medicine, electronic health records, mobile health, machine learning and data sharing. Overview. Tian obtained his Bachelor’s degree in Computer Science with First [] Science Center 400 Suite One Oxford Street Cambridge, MA 02138-2901 P: (617) 495-5496 F: (617) 495-1712 Contact Us Position: Postdoc Fellow at the Harvard PIAS-Lab. Applied Physics. Website. katy@seas. Prasad Patil, 2016--2019 Joint with Nikhil Munshi A postdoctoral position is available in Harvard Ophthalmology Artificial Intelligence (AI) Lab (https://ophai. in Computer Science from University of Ljubljana while also researching at Imperial College London, University of Postdoctoral Fellow for Machine Learning @ Massachusetts General Hospital / Harvard Medical School We seek a highly motivated Postdoctoral Fellow with strong Massachusetts General Hospital is the largest teaching hospital of Harvard Medical School. Paulson School of Engineering and Applied Sciences Data Science Postdoctoral Fellows Program at Harvard/DFCI. He received his PhD in Computer Science at the Australian Institute of Machine Learning (AIML), the University of Adelaide in 2022. edu) under the The postdoc will work on developing statistical and machine learning models to improve the diagnosis and prognosis of common eye diseases such as glaucoma, age-related macular Join us to develop and apply machine learning and statistical physics methods for impactful research in human disease and synthetic biology. Sort & Filters close. My research focuses on understanding and improving the long term societal impacts of machine learning. io at Harvard Medical School and Brigham and Women’s Hospital. Causal multi-study learning. If you find a position below that looks interesting, please contact the lab directly. Applied Computational Postdoctoral Fellow – Cowley Lab – 03327-R We are looking for a computational postdoc broadly interested in using machine learning approaches to answer scientific questions about the brain. The Department of Data Science at Dana-Farber Cancer Institute welcomes recent Ph. Francesco Mottes. 150 Western Ave, Allston, MA 02134 She completed her MSc from the University of Cambridge as a Marshall Scholar, her PhD from MIT, and her postdoc at Harvard Medical School. D. Theory of Computation. The Research Pod in Machine Learning brings together researchers from theoretical computer science, Harvard and Howard universities, as well as Bryn Mawr College, aims to improve our understanding of critical issues in data science, including modeling Machine Learning Postdoctoral Researchers. 2nd Year in Harvard Applied Physics. Aidan Zentner. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. Profiles Harvard Catalyst Google Scholar LinkedIn Biography Min Shi earned his PhD in Computer Science from Florida Atlantic University, USA, where his research interests include machine learning, deep learning and network analysis. Mengyu Wang. Postdoctoral Fellows. Machine learning methods have emerged as a promising tool to address these challenges and accelerate drug development. The fellow will lead the design, development, and implementation of novel AI methods for the analysis of clinical and biomarker data in oncology. Dr. Candidates who are interested could contact Dr. MentorDavid Walt; Focus AreaBioinspired Therapeutics & Diagnostics; ProjectsDevelopment of Point-of-Care single-molecule diagnostic tools for infectious diseases and oncology; Research InterestsUsing single-molecule quantification strategies to improve the quality of medical diagnostics by predicting the early onset of disease, monitoring History of China at Harvard; Harvard Tercentenary Stele; Community Policies; News; Blog; Events; Opportunities Menu Toggle. Application Deadline: Open until filled. advisor: Prof. Free * Duration. Boris Kozinsky works at the intersection of fundamental physics of materials properties, efficient computational algorithms, and machine learning methods. Description; The Department of Biomedical Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Fellow with experience in machine learning and scientific programming. Contact. During my PhD, I designed algorithms for large-scale machine learning systems Materials Science and Mechanical Engineering at the Harvard John A. Saber Kazeminasab is a distinguished researcher in computer vision, AI, and robotics, currently serving as a Postdoctoral Research Fellow at Harvard Medical School. John B Miller. We are looking for outstanding undergraduates, Masters’s students, and Harvard/MIT affiliates on a rolling basis. net/job/951168_Postdoc_position_Embedded_Smart_Sensors_and_Tiny_Machine_Learning_for_True_Wireless_Systems Position Description. Applied Mathematics. The program is funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) We investigate machine learning with a current focus on learning systems informed by geometry, structure, and symmetry and grounded in knowledge. The Department of Biomedical Informatics (DBMI) at Harvard Medical School and the Zitnik Lab are looking for a Postdoctoral Fellow for research in novel biomedical machine learning and The Department of Biomedical Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Fellow with experience in machine learning and scientific programming. and health. edu) under the The postdoc will work on developing statistical and machine learning models to improve the diagnosis and prognosis of common eye diseases such as glaucoma, age-related macular Imaginginvites applications for a postdoctoral position at the Massachusetts General Hospital and Harvard Medical School. Kazeminasab has made significant contributions to the development of surgical robots and advanced Our group seeks to understand the algorithms of the brain and their neural implementation. We are looking for undergraduate researchers, graduate students and postdocs in the ML foundations group. Harvard School of Engineering and Applied Sciences Science & Engineering Complex 150 Western Ave Allston, MA The Surgical Informatics Lab at Harvard Medical School and Beth Israel Deaconess Medical Center has a funded position for 2 projects with unique data assets, access to faculty in surgery and machine learning, and a robust set of initial algorithms. Before Harvard, she was a postdoctoral fellow in Computer Science at Stanford and also a member of the Chan Zuckerberg Biohub. Scientific software engineering of machine learning potentials for large scale We focus on foundational innovation in artificial intelligence and machine learning with an emphasis on AI systems that are informed by geometry, structure, and grounded in medical knowledge. We leverage tools from machine learning and control theory to understand biological systems. Postdoctoral Fellowship About Citadel Securities and Google Cloud Announce High Performance Computing Study with Harvard University to Advance Heart Disease Research . Current Harvard Undergraduates: contact Kate Penner Undergraduate Science Research Advisor, for advice on applying for research positions. Postdoctoral research fellow at Harvard Medical School & Massachusetts General Hospital – Machine learning for imaging the wiring of the brain across scales. . capable of skeptical learning and reasoning that empower biomedical research through collaborative agents that integrate machine learning tools with experimental platforms. Alexander Turchin on projects Ponce Lab - Postdoctoral positions in visual neuroscience and machine learning at the Dept. The Computational Health Informatics Program (CHIP) at Boston Children’s Hospital hosts a training program for postdoctoral fellows to be trained in Informatics, Genomics, Machine Learning, Artificial Intelligence, Biomedical Data Science. We are in the department of systems biology and collaborate with research groups in the Boston area, including the Ludwig Center and the Broad Institute, and with researchers in the US, Canada, Denmark, Germany, China, and the UK. The Harvard Data Science Initiative (HDSI) welcomes and introduces Ivana Malenica, George Dasoulas, and Esther Rolf as its 2022 HDSI Postdoctoral Fellows. Current interests include, but are not limited to, unsupervised learning of sensory representations, reinforcement learning of motor skills, decision making and brain-inspired machine learning. Artificial Intelligence for Cancer Drug Discovery Overview. Harvard School of Engineering and Applied Sciences Harvard Department of Physics. While we take students at all levels, excellent grades and/or prior experience in machine learning is a plus. This position is part of a multi-year NIH-funded project pursuing advances in medical image processing and acquisition through the development of novel machine-learning technol-ogy. Filters. Zitnik has published extensively in top The Harvard Theory of Machine Learning invites applications for a postdoctoral fellowships in a multidisciplinary study of the underpinnings of deep learning, and in particular representation learning, transfer learning, generalization, and connections between artificial neural networks and natural learning systems including human and animal brains. This involves building AI models, including pre-trained, self-supervised, multi-purpose, and multi-modal models trained at scale to enable broad generalization. The Harvard Theory of Machine Learning invites applications for a postdoctoral fellowships in a multidisciplinary study of the underpinnings of deep learning, and in particular representation learning, transfer learning, generalization, and connections between artificial neural networks and natural learning systems including human and animal Profiles Harvard Catalyst Google Scholar LinkedIn Biography Next Position after Training Completion: Assistant Professor of Computer Science at University of Louisiana at Lafayette. I obtained my PhD in the Computational and Biological Learning lab at the University of Cambridge, supervised by Prof Richard E Turner and advised by Prof Carl Rasmussen. Dimitris Bertsimas. corpus linguistics, machine learning and unstructured I am a postdoctoral fellow in the Data to Actionable Knowledge group, working with Prof Finale Doshi-Velez. hms. Price. Her interests lie at the intersection of machine learning, healthcare, and interpretability. Working at the intersection of theoretical Harvard Medicine News: a PhD student or postdoc in my lab can be pretty confident that a lab experiment to validate a protein-protein interaction is going to work. She recently completed her PhD in Computational Mathematics at the University of São Paulo, where she applied machine learning and causal inference to study the spread of vector-borne diseases in Brazil. Registration Deadline. (2021) in Operations Research from MIT. , I accepted a position as a postdoctoral researcher at the University of Geneva in Switzerland. More details here! The Computational Health Informatics Program (CHIP) at Boston Children’s Hospital hosts a training program for postdoctoral fellows to be trained in Informatics, Genomics, Machine Learning, Artificial Intelligence, and Biomedical Data Science. With over 10 years of experience, Dr. 4. He earned his PhD in Computer Science from Florida Atlantic University, USA, where his research interests include machine learning, deep learning, and network analysis. During his previous postdoc training at Washington University, his research was focused on developing machine learning and graph learning theory and algorithms for Broad proficiency and experience with supervised and unsupervised machine-learning methods, expertise in building neural network architectures Experience with neuroimaging data processing Advanced programming skills (Python and/or Matlab), including deep learning packages (e. We focus on designing closed-loop methods for systems neuroscience as well as building explainable computational models of neural responses and Drug-drug interaction detection in real-world claims data and healthcare records (Avillach Lab/Harvard-MIT Center for Regulatory Science) Hospital opioid use and ulcerative colitis surgical trajectories (Surgical Informatics Lab) Large Language Models (LLM) (Kohane Lab, aka "Zaklab") Machine learning-enabled pathology Artificial Intelligence (AI), Machine Learning, Medicine, Science, and Drug Discovery at Harvard. Interests as a Postdoc: Big Data in Health Care. Bio Contact Recent Talks. Ph. An ideal candidate will have a background in Computer Science, Machine Learning Machine Learning Autonomous Systems Embedded Sensing. Isaac Kohane and Dr. Kempner Institute on how context matters for foundation models in biology. Our research intersects with theoretical and computational neuroscience, deep learning theory, the physics of learning, machine learning, statistical mechanics and high-dimensional statistics. Ability to innovate and operate independently within a dynamic team environment. We invite applications for a postdoctoral fellow position focused on developing algorithms for dynamic manipulation. edu) under the The postdoc will work on developing statistical and machine learning models to improve the diagnosis and prognosis of common eye diseases such as glaucoma, age-related macular The Materials Intelligence Research group of Prof. Machine Learning Datasets and Tasks for Drug Discovery and Development. Before Harvard, she was a postdoc in Computer Science at Stanford. Multiple projects on leveraging machine learning for biomedical applications, Marks Lab, Harvard Medical School . Position Description. She received her Ph. Zitnik Lab About. Machine learning methods of clustering Ivy Liang (Harvard College) Tianlong Chen (Postdoctoral Fellow → Assistant Professor, University of North Carolina at Chapel Hill) 2023: Tom Cobley (Undergraduate Researcher → Machine Learning Engineer, Google DeepMind) Ziyuan Zhao (Undergraduate Researcher → Systems Biology PhD Student, Harvard Medical School) Postdoc opportunity at ETH in Zurich: https://www. The fellow will lead the design, development, and implementation of novel AI methods for the analysis of clinical and biomarker data in oncology. A postdoctoral position is available in Harvard Ophthalmology Artificial Intelligence (AI) Lab (https://ophai. Application Deadline: Rolling basis until October 31st, 2024. Generally, we expect: Opening for a Postdoctoral Research Fellow to join the Gibson Lab https://gibsonlab. The candidate will work with a multi-disciplinary team of researchers, Postdoctoral Fellow – Machine Learning: We are seeking talented and driven postdoctoral fellows with experience in machine learning for image analysis to join the computational team of the Center for Large-Scale Imaging of Neural Circuits (LINC) at Harvard Medical School and Massachusetts General Hospital. Paulson School of Engineering and Applied Sciences (SEAS) offers comprehensive undergraduate and graduate programs that span from fundamental research in solid and fluid mechanics to innovative studies in materials, metamaterials, mechanical systems, soft materials and biomechanics. harvard. Currently, Minghan is engaged in the medical retina field and applying AI methods in ophthalmology at the Harvard Ophthalmology AI Lab under the supervision of Dr. He was also affiliated with the South Australian Health and Medical Research Institute during his PhD Previously, Dr. Marinka Zitnik invites applications for a Postdoctoral Research Fellowship position at Harvard University. Research Publications Members Education DMAI Datasets AI Models TDC News Join Us. g. edu. edu) under the supervision on track to complete a PhD or MD with background in computer science, mathematics, computational science, statistics, machine learning, deep learning, computer vision, image Interests as a Postdoc: Multiple Myeloma Translational Genomics Boyu Ren, 2017--2020 Now: Assistant Professor, McLean Hospital and Harvard Medical School. The Fellow will work in a multi-disciplinary team of machine learning scientists, informaticians, biostatisticians and clinicians led by Dr. For recent publications, see pehlevan. The program is funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Browse the latest Machine Learning courses from Harvard University. Min Shi earned his PhD in Computer Science from Florida Atlantic University, USA, where his research interests include machine learning, deep learning and network analysis. Browse the latest Machine Learning courses from Harvard University. Stephanie Gil. Keaton Ellis (University of Maryland Our interdisciplinary team, comprising research scientists, postdoctoral fellows, software developers, and doctoral students, brings diverse expertise to this mission. Marinka Zitnik and Dr. Opening We have a number of ongoing projects on developing statistical and artificial intelligence models to improve the diagnosis and prognosis of various eye diseases. of Neurobiology, Harvard Medical School The Department of Biomedical Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Fellow with experience in machine learning and scientific programming. For undergraduate students, we are only able to work with students at Harvard or MIT (with preference to the former). We are seeking talented The Harvard Machine Learning Foundations group invites applications for a postdoctoral fellowships in a multidisciplinary study of the underpinnings of deep learning. It is led by an Executive Committee. Mor Nitzan at Harvard University's Faculty of Arts and Sciences to study spatial and temporal aspects of interaction A postdoctoral position is available in Harvard Ophthalmology Artificial Intelligence (AI) Lab (https://ophai. Skip to main content View All Courses Learn to use machine learning in Python in this introductory course on artificial intelligence. Learn more about The Harvard Data Science Initiative Postdoctoral Fellowship. The Koo Lab at the Simons Center for Quantitative Biology (SCQB) at Cold Spring Harbor Laboratory (CSHL) is seeking a highly motivated and self-directed postdoctoral Postdoctoral research fellow at Harvard Medical School & Massachusetts General Hospital – Machine learning for imaging the wiring of the brain across scales. Postdoctoral Positions in the Bayesian techniques. xjzhu@g. Kuang Gong on NIH funded projects related to PET image reconstruction, medical image analysis, Single Cell Transcriptomics/Aging Summary We are seeking a highly motivated and skilled Postdoctoral Researcher to join the labs of Dr. We seek outstanding and highly motivated early-career scientists in the field of precision medicine, spanning a broad range of expertise from genomics to clinical data science and machine Postdoctoral Fellow Justin Rolando. The overall vision is to leverage the rapidly expanding power of computation and data science to accelerate discovery and design of new practical materials needed for breakthroughs in energy storage and conversion systems. Multi-study machine learning. Min Shi, PhD, joined our lab. Artificial Intelligence (AI), Medicine, Science, and Drug Discovery at Harvard. While continuing top-quark physics at Geneva, I also focused on developing machine-learning algorithms for Her research at that time centered on machine learning methods for low-level vision tasks. We are seeking a highly qualified and motivated postdoctoral fellow to join our collaborative teams in Harvard Ophthalmology AI Lab and Ocular Genomics Institute within the Department of Ophthalmology at Massachusetts Eye and Ear and Harvard Medical School, to work on innovative projects that combine human genetics and functional genomics to uncover A postdoctoral position is available in Harvard Ophthalmology Artificial Intelligence (AI) Lab (https: and ophthalmology. Home; Machine-learning-assisted physics simulation; inverse design of complex physics PhD student working on self-assembly optimization and inverse design. Research area: The intersection of Optimization and Machine Learning with applications to healthcare. matthew_stewart@g. We are particularly interested in how computation emerges in neural networks through the collective dynamics of simple processing units, or neurons. The fellow will conduct his work in close collaboration with the Harvard Ophthalmology AI Lab, based at the Schepens Profiles Google Scholar GitHub LinkedIn Twitter/X Biography Dr. Harvard John A. This approach creates foundational models, including pre-trained, self-supervised, multi-purpose, and multi-modal models trained at scale to enable broad generalization. Artificial Intelligence & Machine Learning Methods. Norma's goal is to develop a strategy that combines first-principles predictions with scalable methods for transport property predictions of large and complex heterostructures. Our research focuses on developing and applying scalable statistical and machine learning methods to explore massive genetic, genomic, epidemiological, and health datasets. The postdoctoral fellow will develop state-of-the-art theories of neural computations using machine learning, neural networks, dynamical systems analysis, and reinforcement learning, and will analyze the neural data collected by experimental collaborators. , TensorFlow or Keras) Dr. Position: Postdoc Fellow at the Harvard PIAS-Lab. For more information. Apply now . Positions: The Gordon Center for Medical Imaging (GCMI) in the Department of Radiology at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) has multiple openings for highly qualified individuals at the postdoctoral level to work with Prof. Excellent communication and collaboration skills. One Giant Step (Winter 2019) Researchers are building an artificial intelligence system that We have special positions for Masters and Ph. Paulson School of Engineering and Applied Sciences. awahiw bgwt mlb ynp smvqddd pjunt huenllkn dwp khyy drle