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geometric and topological ML, neural ODEs/PDEs, reduced-order modeling, structure-preserving ML/AI, and optimization. This cluster hire consists of: Two (2) positions jointly appointed in the School
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Deviations” (TOMABOLD), funded by the Research Council of Norway. The PhD position will focus on the large deviation analysis of probabilistic models, and associated problems in PDE, with emphasis
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Previous Job Job Title Teaching Specialist or Lecturer - Product Design (PDes) Next Job Apply for Job Job ID 371787 Location Twin Cities Job Family Education-General Full/Part Time Full-Time Regular
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talented and motivated candidate with experience in computational modeling (ideally with expertise in implementing computational schemes for ODE and/or PDE based models) and machine learning methods.The goal
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to hear from you if you: hold a postgraduate degree at PhD level (or nearing completion / submission) in mathematics; have an established expertise in spectral theory, spectral approximation and PDEs; have
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deviation analysis of probabilistic models, and associated problems in PDE, with emphasis on identifying both well- and ill-posed examples and the interplay between probabilistic analysis and the analysis
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http://www.rackham.umich.edu/programs-of-study . Strong background knowledge of career and professional development, needs assessment, and program facilitation and management. Experience with some or all
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areas is considered advantageous: optimal transport, PDE, stochastic analysis, or theory of generative models, statistical inference and/or sampling In addition to the above, there is also a mandatory
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closely related field. A solid background in numerical methods for PDEs, strong hands-on experience with large codes written in Fortran 90 or C++ and MPI, and effective communication skills (written/spoken
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and/or interest in one or more of the following: optimization and optimal control (esp. optimal control of partial differential equations (PDE) or PDE-constrained optimization), scientific machine