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implementation and validation of algorithm and system designs in real world settings. Your tasks: You will take the lead building our laboratory for intelligent energy management systems. The
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process includes the evaluation of existing systems, extensive simulation-based analyses, as well as the implementation and validation of algorithm and system designs in real world settings. Your tasks
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validation of algorithm and system designs in real world settings. Your tasks: You will be working on a research project—funded by the Federal Ministry for Economic Affairs and Energy—focused on the
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novel Graph Neural Network based algorithm that can act as surrogate for FEM and accelerate process stability calculation for machining process. What you will do Investigate various ML-based
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Working closely with partners at TUD and theoretical researchers on algorithm development, performance analysis, implementation, and experimental validation. To be qualified for this position
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Göttingen, Niedersachsen | Germany | 9 days ago
PhD Student Positions (f/m/d) | Electron-Light Interaction in Silicon Photonic Nanostructures Young Researchers Göttingen Developmental and Evolutionary Biology & Genetics Immunobiology and Infection
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MSCA Doctoral Network ( https://www.elevate-dn.eu/ ) and co-supervised by our partners at the university of Liège. Your tasks in detail: Develop an event-driven learning algorithm for latent reasoning
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so, they often cause mutations in the genome. It is thus not surprising that transposon activity has been responsible for major evolutionary events. However, excessive transposon activity kills a
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evolutionary dynamics and functional diversification. The scientific focus is on one or more microorganisms and on the identification of universal biological principles, rather than on clinical or medical
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recommendations straight to your inbox. Create alert Similar jobs Postdoc marine evolutionary physiology (University Assistant) Wien, Österreich Group Leader and Professor AI in Biology - Dept of Computer Science