139 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"FCiências" Fellowship positions at Harvard University
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (Park Lab) School Harvard Medical School Department/Area Biomedical Informatics Position Description The candidate will have the
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postdoctoral research associate to work with Professor Michael Desai at Harvard University on projects involving inferring sequence-function landscapes, using a combination of empirical data and ML methods (e.g
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Future of Life Institute: Vitalik Buterin Postdoctoral Fellowship in AI Existential Safety Eligibility: To be eligible, applicants should identify a mentor (typically a professor) at the host
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be further interviewed by zoom. Contact Information Assistant Professor Janet Song Contact Email janetsong@fas.harvard.edu Salary Range $67,600-$80,000 Minimum Number of References Required 3 Maximum
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Science Position Description The John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks applicants for two Postdoctoral Fellow positions in Assistant Professor Sitan Chen ’s research group, to work
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Details Title Postdoctoral Fellow in Agentic AI for Science School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position Description Professor
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postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including experimental design and reinforcement
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applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high-dimensional statistics, machine learning theory, or more broadly, mathematical foundations of AI
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Postdoctoral Fellow with Professor Samuel Kou. Professor Kou’s group focuses on research in statistical modeling and stochastic inference in protein folding, biology, chemistry and medicine, Bayesian inference
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Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic