935 computational-physics-"https:"-"https:"-"https:"-"https:"-"The-University-of-Tokyo" positions in Germany
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
wet-lab or computational focus to decode microbial balance in a highly collaborative and multidisciplinary research network a comprehensive mentoring program with supervision by a team of advisors top
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Investigating the performance differences between lab-scale cells and large-scale stacks to identify loss mechanisms during the scale-up process Quantification of generated products and gas crossover to establish
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competences of the faculty and research team members at the ETH Zurich in Switzerland ideally complement the competences in natural sciences and computer science at the Max Planck Institute for Intelligent
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Joint Univers. Professorship for “Sustainable polymer matrix composites at TU Hamburg” combined with
, property optimization, and aging-driven interfacial degradation. The aim of the research program is to devise materials innovations that support the transition from single-use high-performance PMCs
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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, the following tasks will be undertaken: Synthesis and study of selective material for divalent cations. Material characterization: compositional, physic-chemical, morphological and electrochemical. Evaluation
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The Scientific Software Center (SSC) at the Interdisciplinary Center for Scientific Computing, Heidelberg University, aims to improve sustainability of research software and professionalization
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme is intended for highly qualified scientists and scholars of all disciplines from selected developing
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large-scale scientific research and foundation models. The Machine Learning Science Cloud is part of the AI/ML compute ecosystem in Tübingen. Our users work on diverse research and transfer projects
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from a variety of disciplinary backgrounds, with the main criteria for a directorship being scientific and scholarly excellence and an innovative and ambitious research program, rather than seniority