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and neural activity. In particular, Postdoctoral AI Researchers may help develop brain foundation models that predict patterns of neural activity from large-scale, multi-regional recordings. Areas
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that are covered include (as examples) postdoc salary, the salary of a technician directly supporting the postdoc’s project, professional development opportunities, and/or specialized research supplies needed
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—are intended to foster the early career development of researchers who have transitioned or are transitioning from training environments in the physical/mathematical/computational sciences or engineering into
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for candidates with interests in multiscale simulations of complex physical phenomena, from the atomistic/electronic scale to mesocopics and beyond. Of particular interest is the development and application
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AI/ML and a strong record of research accomplishment who are excited to develop new AI approaches for high-impact problems in cellular and protein computational biology. This role focuses on applying
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Lab invites applications for a Postdoctoral Fellow position. Our group investigates how microbes and microbiomes function at the molecular level by integrating microbiology and chemistry. We develop and
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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ability to use modern AI-assisted and agentic coding tools effectively, such as Claude Code, Codex, or similar systems, in research and development workflows. Ability to work effectively in a collaborative
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Postdoctoral Fellow position. The lab is working to explore the evolution of mammalian lifespan with the goal of better understanding the underpinnings of human aging. There is a strong emphasis on the aging
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to develop an understanding of how the physical states of the dye and other components in the food formulation determine the color. The project combines experimental characterization (spectroscopy, microscopy