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Full time: 35 hours per week Fixed term: 36 months (with possible extension to 48 months) We are looking for a talented and ambitious early career researcher to work on the project “Numerical
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. The post-doctoral researcher will be responsible for the analysis and design of reconfigurable optical metasurfaces, making use of optimization and inverse design methodologies. Where to apply E-mail
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Physics or Materials Science. Experience on numerically modeling light-matter interactions, designing photonic devices, and employing optimization and inverse design approaches. Experience in project
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breeding is the introgression of numerous identified disease resistance genes into single lines useful for further breeding and improvement through the development and use of rapid-cycling grape germplasm
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[map ] Subject Area: Applied and Numerical Analysis Appl Deadline: 2025/09/15 11:59PM (posted 2025/08/05, listed until 2025/12/31) Position Description: Apply Position Description Doctoral and
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numerical validation of error bounds for model-order reduction based on optimal transport, in the context of electronic structure calculations. The postdoctoral researcher will be assigned to the Besançon
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
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networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
Job description:Postdoc (f/m/d) AI-based automated adaptation and biological optimization of proton therapy With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees
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demonstrating a proof of concept for low-power logic gates based on spin waves. The work involves experimental research. The post-doc will be responsible for: - the growth and optimization of magnetic thin films