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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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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position – Ad Print4Life DC11 Reference code: 50156132_2
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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cell types. Optimize 3D CAD designs for precision and parallel measurements. Evaluate the feasibility of integrating the probe system onto a robotic end-effector and design suitable mechanical and
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 18 days ago
computational methods to investigate the structure, dynamics and function of cellular systems at the molecular scale. It consists of four scientific departments, multiple research groups and scientific core
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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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between Na metal and ceramic separators must be increased. As part of a master`s thesis, the interface between Na metal and the Na ion conductor Na2 Zr2 SiP2 O12 is to be optimized through the use of thin
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. Optimize H-MBE Grown Material Properties: Utilize computational insights to fine-tune the composition and structure of metal oxides, boosting their performance in diverse applications. What we are looking
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to analyze and optimize system behavior before physical implementation Development of algorithmus and control software for full automation of long-term and high-troughput operando experiments Implementation
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evaluation, parameter updates, and likelihood computation. Optimize the implementation for high-dimensional datasets using PyTorch, with attention to numerical stability and efficiency. Develop unit tests and