120 computational-physics-"https:"-"https:"-"https:" Fellowship positions at Harvard University
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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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sophistication, including strong statistical skills and comfort with large-scale or complex data. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling
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of developmental and/or regenerative neurobiology, neuronal cell biology, and/or nervous system disease involving the cerebral cortex to join an ongoing research program focusing on the developmental, degenerative
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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
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of at least two references Candidates may be asked to undergo an assessment as part of the interview process. Special Instructions These are term positions starting July 2026 (start date flexible) through June
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process. We use a combination of human and mouse in vivo and in vitro studies to carry out chemical screening and transcriptional profiling analyses to evaluate potential therapeutics related to targeting
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wearable technology and working with both healthy and patient populations are highly desired. Additionally, having a PT background and being eligible for physical therapy licensure in the Commonwealth
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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of Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology
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(yes, that means some museum and fieldwork!). Comparative analysis using advanced computational tools and wet lab techniques. Hands-on dissections of invertebrates for anatomical and physiological