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surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only
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related to earth sciences for a master’s programme in Germany starting in 2024 (subject to programme resources). Who can apply? Applicants: have successfully completed generally a bachelor’s* degree/a
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: https://www.uni-giessen.de/en/faculties/ggkgcsc/graduate-programmes/phdnet/phdnet Integrated internships An internship is not part of the programme. Teaching/work obligations or opportunities Members have
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within the faculty participate in the programme. The course content is very broad and the specific subject of the dissertation depends on the institute. For research subjects, please see our website: http
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Max Planck Institute for the Study of Societies • | Koln, Nordrhein Westfalen | Germany | about 1 hour ago
location Köln In cooperation with University of Cologne , University of Duisburg-Essen Teaching language English Languages Courses are usually taught in English. Full-time / part-time full-time Programme
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program the memristors Operando characterizing the device electrically and morphologically using conductive atomic force microscopy (C-AFM) Access and active control of advanced experimental setups Your
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. Where to apply Website https://www.academiceurope.com/ads/phd-position-m-f-d-computational-biology-sin… Requirements Research FieldBiological sciences » OtherEducation LevelMaster Degree or equivalent
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Kohlenforschung, Mülheim/Ruhr Ruhr University Bochum University Duisburg-Essen Teaching language English Languages The doctoral programme is conducted entirely in English. Full-time / part-time full-time Programme
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Starting Date 1 Jul 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe Reference Number 101226674 Is the Job related to staff position within a Research Infrastructure? No
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of Science/Institute of Computer Science/Chair of AI in the SciencesCountryGermanyState/ProvincePotsdamGeofield Contact City Potsdam Website http://www.uni-potsdam.de/ Street Karl-Liebknecht-Straße 24/25