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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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International Max Planck Research School on Trustworthy Computing The International Max Planck Research School on Trustworthy Computing (IMPRS-TRUST) is a graduate program jointly run by the Max
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embedded FPGA-based intelligence near seismic sensor arrays, you will explore methods to maximize prediction performance while minimizing data transmission and latency. Your key tasks include: Evaluating
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for interdisciplinary research at the interface of energy systems, high-performance computing, and quantum computing Strong background in mathematics, optimization, numerical methods, or scientific
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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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PhD Position in Data-Driven Mathematical Methods for Autonomous Underwater Vehicles Apply Vacant position PhD Position in Data-Driven Mathematical Methods for Autonomous Underwater Vehicles Aalborg
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The Department of Chemistry, Section for Chemical Biology invites applicants for a PhD fellowship in chemical methods for half-life extension of therapeutic peptides. The project is part of the
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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