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theory, symmetry analysis, and group theory. You will work on developing and applying these ideas to discover new photonic phenomena, implement associated computational tooling, and to find opportunities
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outstanding candidates to apply for a postdoctoral research position in Geometric Deep Learning, with a strong emphasis on applications to biology and scientific discovery. This unique research collaboration
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optimization (theory, modeling, and tools). Candidates should apply at: https://www.princeton.edu/acad-positions/position/39361 and include a cover letter, CV (including a list of publications), research
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or related areas. The ideal candidates will have extensive experience in microscopy, micromanipulation, growth of microorganisms, and dynamical systems theory. Fixed-term: The funds for this post are available
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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science. Further requirements for the position include (a) expertise in combining social science theories with computationally intensive methods to understand social phenomena, (b) publications in
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Cornell University, School of Civil & Environmental Engineering Position ID: Cornell -CEE -POSTDROPTMOD [#30294] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York
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theory and practice and for its outstanding interdisciplinary applied research. The Department is also widely recognized for advancing the teaching of Statistics and Data Science and for the excellence
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on exoplanets. The position will be supervised by Professors David Catling and Joshua Krissansen-Totton. This theory project is funded by the Alfred P. Sloan Foundation and does not depend on federal grants
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Jagiellonian University, Institute of Theoretical Physics Position ID: Jagiellonian University -Institute of Theoretical Physics -PDGC [#29385] Position Title: Position Type: Postdoctoral Position