18 mathematics-graph-theory Fellowship positions at Harvard University in United States
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Details Title Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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evolutionary life history theory, growth and development, endocrinology, nutrition, reproductive ecology or aging. Additional Qualifications Special Instructions Candidates should upload the following materials
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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following areas: Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence. Applications
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of nanoparticles and metals, ARDS), James P. Butler (physics, applied mathematics, sleep, respiratory mechanics), Philip Demokritou (effects of nanoparticles on biological systems, nanoscience, aerosol engineering
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rolling basis. The position will remain open until filled. Basic Qualifications A Ph.D. in Mathematics, Applied Mathematics, Computer Science, or a related field, by the start of the appointment. Additional
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Details Title Postdoctoral Fellow in Psychology School Faculty of Arts and Sciences Department/Area Psychology Position Description Research on Theory-of-Mind, Pragmatics, and ‘Scripted’ Behavior
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Mathematics Position Description We are looking for excellent candidates in the general areas of macroscopic physics, quantitative biology and applied mathematics, with specific foci that include (i
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Microalgal-Bacterial Symbioses Princeton University, laboratory of Mohammad Seyedsayamdost Suzana Leles, Ph.D. Reconciling theory to predict the evolutionary trajectories of mixotrophic protists University