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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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 hours ago
research in core/edge modeling, scenario optimization and experimental interpretation in the SPARC tokamak; lead the efforts of creating a platform to analyze experimental data in SPARC early campaign
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Researcher position in SONATA BIS project financed by the National Science Centre – 1 position (2 years) Project title: “Mathematical Optimization in Quantum Information” Project leader: dr Felix Huber
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in inHealth-Aware Optimization of Lithium-Ion Battery Charging is available from 1stof March 2026 (or as soon as possible
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computationally efficient at simulating permanent magnet structures, and capable of leading to the globally optimal solution of the underlying design optimization problem. We aim to combine gradient-based
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The work proposed for this post PHD position involves studying and
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. To that aim, both Stein-based bilevel optimization, empirical Bayesian and unsupervised deep learning approaches will be considered. The recruited postdoc researcher will tackle both implementation challenges
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» Chemical engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in computer sciences or chemical engineering Cover letter, research summary and CV Strong skills in optimization and programming
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, cold chain logistics, and sustainable packaging systems, addressing critical challenges in product protection, supply chain optimization, and distribution system efficiency. We seek a highly motivated
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous