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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 26 days 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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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The group ofSebastian Stich works on the design and analysis of optimization methods
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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Association. WIAS invites applications as Research Assistant Position (f/m/d) (Ref. 25/14) (PostDoc) in the Research Group Nonlinear Optimization and Inverse Problems (Head: Prof. Dr. D. Hömberg) starting as
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-Technology-Co-Optimization: STCO), AI-driven data analysis and process assessment, packaging-specific PDKs & ADKs, or inline testing & fault analysis (3D)? If so, you are in the right place! What you will do
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 8 days ago
seek a qualified postdoctoral researcher to design, fabricate, and test high efficiency superconducting nanowire single-photon detectors (SNSPDs) and detector arrays optimized for mid-infrared
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for the discovery of new physics experiments) Developing, benchmarking and advancing state-of-the-art AI-driven exploration, optimization, and search algorithms in extremely complex and enormously large spaces
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Your Job: Develop techniques to simulate, control, and optimize the time-dependent dynamics for increasing system complexities Implement and optimize small quantum circuits on super- and semi
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or heterogenous inorganic catalysts. The goal is to identify and optimize novel catalysts that can efficiently utilise solar energy by consecutively absorbing light with different wavelengths. Catalyst development
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close