35 affective-computing "https:" "https:" Fellowship positions at Harvard University in United States
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that make these problems tractable, as well as computational tools and laws governing biological system behavior. We welcome applications from recent PhD graduates who are interested in these or related
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understanding of cancer; contribute to the development of image-based diagnostics and precision oncology strategies; publish findings in high-impact journals; and present at national/international meetings. Basic
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and cell differentiation. We develop technologies to generate statistical data sets that make these problems tractable, as well as computational tools and laws governing biological system behavior. We
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Mar-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Computer/Information Sciences Internal
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at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your
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benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (Patel Lab) School Harvard Medical School Department/Area Position Description The successful candidate will work with Chirag
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fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. Experience with nonhuman primates, systems neuroscience, electrophysiology, or computational
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PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective
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and naturalistic visual paradigms in macaque monkeys, together with quantitative behavioral analysis and computational modeling, to identify circuit and population-level signatures of drug related