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, computational science, or closely related). Relevant coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed
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continuous-variable cluster states on chips or in fiber, with relevance to both MBGBS and universal measurement-based quantum computing. Explore methods for generating, injecting, detecting and using non
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coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Methods for the Prediction and Correlation of Thermophysical Properties
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Scientific machine learning methods for trustable accelerated materials characterization and
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is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 7 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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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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, or another highly quantitative discipline * A strong foundation in probability, statistics, optimization, numerical methods, or quantitative modeling * Experience developing research code in Python