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Number: 16451 School: Harvard Medical School Position Description: We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon's group in the Program of Genetics at Harvard Medical
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background who are interested in the interaction of mathematics with fields such as physics, biology, economics, computer science, AI, statistics, and other disciplines. Basic Qualifications: Ph.D. in a
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Harvard Office of Technology Development (OTD): Business Development Fellowship Eligibility: Harvard graduate students and postdocs Deadline Month: May Description: This year-long program provides
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-impact research at the intersection of autonomous AI systems, neural computation, omics and neurobehavior analysis. The position focuses on developing AI agents inspired by and applied to complex
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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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greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral data. The work will incorporate comparative evolutionary biology using extant plants populations and Herbaria
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compensation and working conditions. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as machine learning, computer science or closely related field. Excellent programming skills and practical experience
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Details Title Postdoctoral Fellowship in Differentially Private Learning and Replicability School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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) in which they can best carry out their research program.
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Details Title Postdoctoral Fellow in Artificial Intelligence for Society School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position