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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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design, fabricate, and test high efficiency superconducting nanowire single-photon detectors (SNSPDs) and detector arrays optimized for mid-infrared spectroscopy. The goal of this work is to develop both
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and optimizing the execution User support in the field of large-scale AI Diving deep into technical aspects of efficiency, parallelization, and benchmarking Engaging in national and international ML/DL
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will work at the interface of first-principles theory (e.g., DFT) and reactive force field modeling (e.g., ReaxFF), developing multiscale, high-throughput workflows that simulate and optimize growth
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on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training and optimizing the execution User support in
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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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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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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 23 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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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