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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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Details Title Postdoctoral Research Fellowships in the Science and Theory of Generative Modeling School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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for one or more Postdoctoral Research Fellowships in the Black Hole Initiative (BHI) at Harvard University. Fellows will pursue research on theory, simulations, instrumentation, or mission design and
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, mineralogy, mineral physics, paleomagnetism, seismology, and planetary sciences. We welcome methodological approaches that span field observations, lab-based science, theory, and computation. The Department
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postdoctoral position supported by the Simons Collaboration on Universal Statistics in Number Theory. The Postdoctoral Fellow will conduct research in one or more of the areas supported by the Simons
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creativity who study one or more of the following areas: Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the
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of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence. Research and development of new AI or ML
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skills, backgrounds, and interests spanning these topics. We are looking for a postdoctoral fellow with a PhD degree in Genetics, Statistics, Computer Science, Applied Math or related fields relevant
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theory, numerical models and observations to understand various aspects of land climate. Basic Qualifications Candidates should have a recent Ph.D. in atmospheric science, climate science or a related
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Engineering. This position is for a Postdoctoral Scholar in the area of information theory and artificial intelligence at the Harvard Information Theory Laboratory . The successful candidate will work under the