232 computer-science-programming-languages-"St"-"ST" Fellowship positions at Harvard University in United States
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of transmembrane signal transduction. Collaboration with team members specializing in molecular biology, computational modeling, and cell biology is encouraged, as is the presentation of research findings in
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are invited to participate in broader activities at Harvard and Brown, including seminars and courses. The program serves as an ideal bridge between college and graduate school for students interested in
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computational biology, or related fields. Additional Qualifications Special Instructions Do not contact PI. Any questions can be directed to David Lucas at the email address below. Contact Information David Lucas
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Details Title Postdoctoral Fellow School Faculty of Arts and Sciences Department/Area Stem Cell and Regenerative Biology Position Description The Lee Laboratory invites applications for a
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Details Title Postdoctoral Research Fellow School Faculty of Arts and Sciences Department/Area Stem Cell and Regenerative Biology Department Position Description The Segel Lab invites applications
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surveys; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis (e.g., MATLAB, R
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for undergraduate and graduate students. Qualifications: 1. A Ph.D. in Neuroscience, Molecular Biology, Genetics, Computer Science, or other relevant scientific discipline is required. 2. Basic understanding
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data across multi-institutional research networks, with a focus on the analytical and computational challenges arising in precision medicine, mental health, and biomedical informatics. The postdoctoral
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, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. The Fellowship is intended for early-stage scientists and will
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assessment, and ambulatory behavioral assessments to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories