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research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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exclusive 2-year program geared toward PharmD and PhD graduates with a penchant for clinical research in the pharmaceutical and biotechnology industries. Established in 2009, the fellowship has paved
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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preferential viewing behavior, using large-scale electrophysiology, behavioral experiments, and computational modeling. We welcome applications from recent PhD graduates who are interested in these or related
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) and will teach one course per semester in the Department of Anthropology’s terminal Master’s (MAO) Program and work with the Director of the MAO Program. Successful candidates must have their PhD by
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changes in sensory coding. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 16 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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analyses. Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD
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studies how cancer and healthy cells respond to irradiation and DNA‑damaging drugs, using quantitative live‑cell imaging at the single‑cell level. We welcome applications from recent PhD graduates