102 phd-mathematical-modelling-population-modelling Fellowship positions at Harvard University
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regimes of deep networks. Basic Qualifications: A PhD is required. We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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. Depending on available funding, one of the positions may be specifically targeted at candidates interested in the scaling regimes of deep networks. Basic Qualifications A PhD is required. We seek candidates
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safer for Nigeria’s population. Example 2: Climate change and stressed plants Plants under heat and drought stress emit a range of volatile organic compounds. During her stay in Germany, a Humboldtian
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, statistical analysis of data, mathematical modeling, and communication of results, with the aim of guiding policy for climate change adaptation. Experience with theoretical and experimental methods
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fellow will work on projects in the areas of urban, spatial and development economics, which involve structural modeling and estimation and large-scale randomized experiments. This position will last for
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associate to work with Professor Christopher Kuzawa at Harvard University. The postdoc will oversee analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu
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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon
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, scientists, clinicians and artists that work at the intersection of art, cell biology, design, materials science, and computational modeling. Insta: Studio_DBG YouTube: Disease Biophysics Group Website
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of picocyanobacterial lanthipeptides in marine ecosystems Massachusetts Institute of Technology, laboratory of Sallie W. Chisholm Kevin Archibald, Ph.D. Modeling global evolution of marine mixotroph populations driven by