444 associate-professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Harvard University
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of science and international affairs. Job-Specific Responsibilities: The Associate Director will: Partner with Professor Allison to develop strategy and conceptualize core aspects of the research and convening
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Fund is seeking an Associate Director who will be responsible for raising unrestricted support for the Law School's $14 million annual giving program. This position focuses on developing and implementing
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programs. In this role, you will work closely with Professor Lee and his collaborators at the Harvard Kennedy School. Professor Lee is an Associate Professor of Public Policy and Management at HKS, where he
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Compliance Services. Reporting to the Associate Director, Risk and Compliance Services, the Program Manager, Risk and Compliance Services primarily will be responsible for administering the University’s
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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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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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additional years. The candidate will work closely with Professor Petros Koumoutsakos cse-lab.harvard.edu . Basic Qualifications Doctoral degree. Applicants background may include studies in: Computational
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Associate will play a leading role in: Supervising Professor Allison’s team of approximately 4 researchers, including setting research and publication priorities with Professor Allison and delivering
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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