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Field
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. With the rapid expansion of the observational network, encompassing over 100 stations reporting one-minute data and an additional 200 stations expected soon, traditional human-led QC processes
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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures
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Jetzt online bewerben: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28642 PhD/Postdoc – Computational Biology & Multi-Omics (m/f/d) Stellenanzeige merken
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potential impact across quantum networking, communications, and computing. Research Focus Design and fabricate superconducting devices that leverage the nonlinear kinetic inductance of thin superconducting
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and
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represent different backgrounds, skills and views. We foster an inclusive culture, as our combined identities, attitudes and ambitions widen our perspective and make up our strengths. Job requirements A PhD
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researcher, you will play a central role in this ambitious programme and act as a technological integrator across multiple research tracks. You will work closely with three PhD candidates focusing on different
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combining experimental biology and computational genomics. Main duties and responsibilities Working and collaborating on research projects Analysis and publication of results Build a strong network in the
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machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work independently, has a passion for AI
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that enhance the reliability, efficiency, and resilience of electric power distribution networks. Required Minimum Qualifications : PhD in Electrical Engineering Preferred Qualifications: Demonstrated research