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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
innovative research dedicated to the integration of high-fidelity 3D magnetohydrodynamics (MHD) simulations in machine learning models trained with experimental data; interface with broader teams studying
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-time (1.0 FTE) Postdoctoral Fellow with a strong background in data science and machine learning. Experience with pediatric cancer and a desire to become a pediatric cancer researcher is highly desirable
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, machine learning-assisted mapping and reconstruction of brain-wide circuitry, behavioral clustering, cell-type and action-specific Cal-light tagging, closed-loop optogenetic manipulation, calcium imaging
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Health on Develop machine learning models for multi-ancestry functional fine-mapping and polygenic risk score models. Build graph-embedding models on biomedical and cancer knowledge graphs. Performing GWAS
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mentality for cutting-edge research in various fields including robotics, machine learning and systems intelligence. An exceptional opportunity to experience research in a highly inspiring international
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collaborators on these projects, including Pawan Sinha at MIT, Alireza Ramezani at Northeastern, Joo-Hyun Song at Brown University, and David Lin at Massachusetts General Hospital. The research is supported by
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at Cornell University, but the project will include close collaboration with colleagues at Penn State and MIT, as well as a machine learning-focused geothermal start-up (Strabo Analytics). The entire project
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interested in candidates who can leverage machine, deep learning, and statistical methods to monitor species distributions and integrate biodiversity records from multimodal data sources to understand
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analyses using Danish register data and/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning
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on these projects, including Pawan Sinha at MIT, Alireza Ramezani at Northeastern, Joo-Hyun Song at Brown University, and David Lin at Massachusetts General Hospital. The research is supported by the National