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academic partners, aiming to introduce and understand the new functionalities into an existing lithium‑metal battery technology to achieve high‑performance, sustainable and safe batteries.” Your tasks in
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Functional Theory (DFT) Familiarity with artificial intelligence methods Good knowledge of electronic structure methods Experience with Linux, Git and related tools Knowledge in the field of high-performance
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on high-performance computing and quantum computing platforms Analysis and validation of results using classical reference models and simulation data Documentation of research results and contribution
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are among others: above average academic performance personal suitability for the programme and its objectives knowledge of the German language (at least level B1) good command of English The selection
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. The candidate will collaborate in an international research team on related topics in probabilistic modeling, uncertainty quantification, and high-performance computing, with applications in the natural and
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are programmed. This includes defining novel programming methods and compiler infrastructures to deploy optimized software onto heterogeneous computing systems in both the embedded and high-performance computing
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it by utilizing heat. Modeling such a storage system allows the evaluation on overall process efficiency and comparison with state-of-the-art technology, e.g. reciprocating compressors. In your thesis
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entropy or Kullback-Leibler divergence vs. measurement time Analysis and documentation of the results Your Profile: Excellent academic performance in a master’s program in electrical engineering, materials
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quantification, and high-performance computing, with applications in the natural and engineering sciences. The position also includes teaching responsibilities equivalent to 4 contact hours per week, as
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-learning–based segmentation, classification and tracking for microbes and microgels in phase-contrast and fluorescence images Optimise these models and pipelines for real-time performance and integrate them