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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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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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algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems coordinate distributed
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quantitative, real-time multimodal mesoscopic and microscopic imaging. • Contribute to real-time software development for system control, data acquisition, multimodal image reconstruction, and quantitative
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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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will have experience in EPR and actively develop EPR/EMDR as well on the instrumentation as the analysis side towards using CISS for molecular qbit control. The researcher will also be associated with
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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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to collaborate with and visit our international research network (DE, IT, NL, PL, UK) Excellent command of English; knowledge of German is an advantage but not a requirement Independent, reliable, and committed
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, reliability, and consistent behavior. Learning-based controllers can achieve high performance in complex and uncertain environments, yet ensuring predictable operation under distribution shifts, sensor noise
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Interest in comparative research designs Publications in peer-reviewed journals and/or strong evidence of publication potential Excellent command of English; knowledge of German is an advantage but not a