131 associate-professor-computer-"https:"-"https:"-"https:" Fellowship positions at Harvard University
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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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biology, and associated metadata, often across time, dose, or perturbation conditions, to enable phenotype-driven prediction and insight. Developing AI models to address translational questions, including
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Museum of Comparative Zoology at Harvard University: Biodiversity Postdoctoral Fellowship Deadline Month: September Description: The Biodiversity Postdoctoral Fellowship program supports
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collected correctly. Experience working with human subjects and associated research regulations, including the IRB, is an important part of role. For lab-based studies, s/he will have access to state
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(D^3) Institute and the LISH/Data Science & AI Operations Lab seek enthusiastic Postdoctoral Fellows skilled in computer science, statistics, operations research, or related computational fields. As
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Women in Science fellowship program annually awards five women postdoctoral scientists with grants for their contributions in Science, Technology, Engineering and Math (STEM) fields and commitment
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degree recipients interested in working to address the multiple challenges of inequality. This program intends to seed new research directions; facilitate collaboration and mentorship across disciplines
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will contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, computer science, biomechanics, or a related field. Additional
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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training in clinical psychology and epidemiology to investigate: 1) biopsychosocial associations with response to trauma and bereavement; 2) how genes influence risk for posttraumatic psychopathology; and 3