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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 4 days ago
:
- compiler frameworks (LLVM, MLIR)
- embedded software development
- computer and accelerator architectures
- parallel and distributed computing
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probability, statistics, optimization, numerical methods, or quantitative modeling * Experience developing research code in Python and working with large datasets; experience with C++, scientific
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Heilbronn Research Fellowships in Pure Mathematics, Data Science, and Quantum Computing The role The Heilbronn Institute for Mathematical Research invites applications for Heilbronn Research
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National Taiwan Normal University | 2 months ago
invites applications for up to two postdoctoral positions in gravitational dynamics and numerical methods working with Prof. David M. Hernandez. The position is for one year, with renewals up to a
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
, neural operators are combined with classical numerical methods to efficiently approximate parameterized finite-element models. By integrating data-driven and FEM-based approaches, hybrid models are
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. In this effort, we use and develop theory, statistical methods, and numerical models in close interplay with observations. We also develop and lead observational research using remote-sensing and in
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Computing Devices at CEA-Leti in Grenoble, you will contribute to the development of Bayesian learning methods suited to resistive memories (ReRAM). You will build on the team’s previous work, which
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two companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting
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, or another highly quantitative discipline * A strong foundation in probability, statistics, optimization, numerical methods, or quantitative modeling * Experience developing research code in Python
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, operations research, physics, statistics, or another highly quantitative discipline * A strong foundation in probability, statistics, optimization, numerical methods, or quantitative modeling * Experience