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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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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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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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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
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cells of individuals at high risk of developing type 2 diabetes and its complications. Tasks Perform end-to-end data analysis, including quality control, data integration, and inference of regulatory
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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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, 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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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 2 hours ago
-mission, will feature an island divertor and aims to have sufficient island control and flexibility to provide for robust physics studies required to develop a detailed understanding. Two postdoc positions
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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