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analysis, machine learning, mathematics of data scienceMathematical modeling and manifold learning of high-dimensional data geometry, with theoretical foundations and applications in evolutionary biology and
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on the mathematical theory of deep learning as part of the joint NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
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Position Description Position Description The research group of Professor Mikaela Iacobelli in the Department of Mathematics at ETH Zurich invites applications for a two-year postdoctoral position
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and Mathematical Statistics at Umeå University (Sweden) is offering a postdoctoral scholarship within the project “Bounds for Pancake Sorting and Analysis of the Pancake Graph”. The scholarship is tax
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Academic Qualifications: A PhD (or near completion) in Mathematics, Mathematical Physics
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We are looking for a Postdoctoral Research Assistant to join the multidisciplinary CRC-STARS Spatial Biology team at the University of Oxford. This role offers the chance to contribute to a major
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Research Associate in Deep Learning to work with Professor Justin Sirignano at the Mathematical Institute, University of Oxford. This is a 6-month, fixed-term position funded by an EPSRC grant. We anticipate
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record to contribute to the development and automation of advanced electrolysis systems. The successful candidates will work on the automation, operation and optimization of electrochemical systems
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of architected materials, leveraging fast simulation techniques such as unfitted finite element methods, domain decomposition, reduced order modeling, or isogeometric analysis. You will work in a dynamic and
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Previous Job Job Title Postdoctoral Associate in Mathematical Foundations of Generative AI Next Job Apply for Job Job ID 375806 Location Twin Cities Job Family Academic Full/Part Time Full-Time