511 associate-professor-computer-"https:"-"https:"-"https:"-"https:" Fellowship positions in United States
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title and rank will be commensurate with the candidate’s qualifications and experience, and may be at the level of Research Associate, Postdoctoral Fellow, or Research Scientist. The lab focuses
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Contact's Pronouns Contact's Title Associate Professor Contact's Email jbruner@buffalo.edu Contact's Phone 716-645-2444 Posting Dates Posted 01/21/2026 Deadline for applicants Open Until Filled Date to be
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Posting Details Posting Details Posting Number F01043P Position Title Part-time Lecturer - Archer Fellowship Program Functional Title Part-time Lecturer - Archer Fellowship Program Department Honors
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faculty member will join our strong provider informatics team consisting of physicians and advanced practice providers and report directly to the Associate Chief Medical Information Officer (ACMIO). He/she
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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
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phenotypes associated with their dysregulation. The successful candidate will investigate the molecular mechanisms that establish and maintain genomic imprinting and define the functions of imprinted non
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Postdoctoral Research Fellow to start in Fall 2026 to work with Associate Professor Peter Bergman. The Fellow will contribute to a research program focused on AI applications for economic mobility, such as
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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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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 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