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learn, the ability to work independently, and excellent teamwork skills Our Benefits for You We work on the very latest issues that impact our society and are offering you the chance to actively help in
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sustainable operation of future energy networks by combining our knowledge of energy systems with cutting-edge developments in machine learning, generative AI, and digital infrastructures. Your Job
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or complementing traditional physics-based approaches by data-driven ones, using Machine-Learning (ML). Such approaches allow enormous gains of time, in a way that can be related to the astonishing efficiency
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responsible for delivering cross-faculty teaching, including in the field of Technology Law. The appointee is expected to demonstrate the ability to teach and engage students from diverse academic backgrounds
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University of Freiburg (Uni Freiburg) | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
, including machine learning and artificial intelligence, will be used. The holder of the position must contribute significantly to the Excellence Cluster CIBSS – Centre for Integrative Biological Signalling
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effectiveness of the GDE in different electrolytes and for different reactions. What do you bring? • Interest in electrochemistry and “high temperature” chemistry (no experience needed) • Motivation to learn new
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of Fine Arts teach, learn, and conduct research together with students at the intersection of art and education. Your tasks: Independent research in the field of art education with the goal of earning a
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Max-Planck-Institut für Struktur und Dynamik der Materie | Hamburg, Hamburg | Germany | 3 months ago
language, preferably Python. Experience developing software in at least one compiled language such as C, C++, Fortran, or Rust. Willingness to work in an interdisciplinary environment and acquire new skills
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and communication. The program offers professional training and project management structure in which doctoral candidates (DCs) master challenging roles, take on substantial responsibility and acquire
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Synthetic Cells as Minimalistic Life Forms," Nature Reviews Chemistry 8, 454 (2024). R. Merindol, A. Walther, "Materials Learning from Life: Concepts for Active, Adaptive and Autonomous Molecular Systems