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Field
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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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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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/Area Computer Science Position Description Accepting applications for postdoctoral position in Reinforcement Learning, Probabilistic Methods, and/or Interpretability. Information on the lab can be found
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Materials Required: Further Info: http://www.ece.cornell.edu/ Cornell University School of Electrical and Computer Engineering 229 Phillips Hall Ithaca, NY 14853
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: Data interpretation and surrogate modelling using experimental and computational data sets Software tools for polymer characterization (e.g., TRIOS, RheoCompass, OriginLab or equivalents) Optimization
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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electricity markets; conducting research in nonlinear, convex, and mixed-integer nonlinear optimization; designing and implementing advanced computational and algorithmic solutions; performing computational
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (Park Lab) School Harvard Medical School Department/Area Biomedical Informatics Position Description The candidate will have the
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: https://www.nathlab.org As a successful candidate, you will: Collaborate closely with experimental scientists, mathematicians, and medical oncologists/surgeons to plan, design, and execute computational
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex