197 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Postdoctoral positions in United Kingdom
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well as in designing coordination strategies for them. Our recent work on RL and graph neural networks (GNNs) demonstrate some of our key research directions relevant for this position. A high degree of self
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transposon annotation, phylogenomics. Candidates must demonstrate proficiency in coding and analyses through open-access repositories (github or zenodo). This project will expand the lab existing genome
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for high impact journals. Participate in events, give expert talks, support in teaching and workshops. Network with scientists and industry to support your research as well as the development of new research
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in teaching and workshops. Network with scientists and industry to support your research as well as the development of new research proposals. Grant reporting, managing and monitoring. Work with
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reproducible code and results. A clear, concise communicator, you thrive in multidisciplinary teams, mentor junior scientists and manage projects autonomously while remaining open to constructive scepticism and
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History. You will be part of the Department of History and will work closely with colleagues here in Vienna as well as with international research networks. Your future tasks: Active participation in
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international networking. The department is part of the Faculty of Philological and Cultural Studies. We appreciate our diversity of research topics, internationality, interdisciplinary cooperation and exchange
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building to embed and exploit these technologies for long-term growth. AMMIC will contribute to net zero, develop industry digital skills, improve efficiencies, and create increased international
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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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approximation theory can be automated by a (neural network) guided search over the action space of standard tools (e.g., Hölder inequalities, Sobolev embeddings, ...). Certain proofs in these fields require