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managing supercomputer resources Strong skills in algorithm development for large sparse matrices Excellency in programming GPU accelerators from all major vendors Very good command of written and spoken
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four different AC-voltages, independent of the distance covered https://arxiv.org/abs/2108.00879 . Theoretical consideration indicate good prospects for maintaining spin-coherence of the shuttled
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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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Description: The RevEl project aims to replace PTFE-based dry binders with fluorine-free nanocomposites that combine mechanical robustness during battery operation with controlled debonding-on-demand at end
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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mechanical robustness during battery operation with controlled debonding-on-demand at end-of-life to enable direct recycling. Within this project, the focus of the Department Structure Formation (SF) is on
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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, molecular genetics and genomics. You are experienced with Next Generation Sequencing methods. Ideally you have an affinity to command-line based bioinformatic data analysis. Experience with R and Linux in a