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BIOPOLIS CampusCountryGermanyCityDresdenGeofield Contact City Dresden Website https://www.digs-ils.phd/#pk_campaign=Euraxess2027Winter&pk_kwd=website Street Tatzberg 41 Postal Code 01307 E-Mail digs-ils@tu
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-Zentrum HereonCountryGermanyCityGeesthacht Contact City Geesthacht Website https://www.hereon.de/ Street Max-Planck-Straße 1 Postal Code 21502 E-Mail [email protected] Phone +49 41 52 87-0 Fax +49 41 52 87
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available1Company/InstituteForschungszentrum JülichCountryGermanyCityJülich Contact City Jülich Website https://www.fz-juelich.de Street Wilhelm-Johnen-Straße Postal Code 52428 E-Mail [email protected] Phone +49
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of BiologyCountryGermanyState/ProvinceRheinland-PfalzCityMainzPostal Code55122StreetSaarstr. 21Geofield Contact State/Province Rhineland-Palatinate City Mainz Website https://www.uni-mainz.de/en/ Street Saarstr. 21 Postal Code
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this project aims to advance. In this project, you will work with an existing high-performance code to perform hydrodynamic simulations of swimmers in complex confinements, and also help to further develop it
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Contact State/Province Bavaria City Munich Website https://www.tum.de Street Arcisstr. 21 Postal Code 80333 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
offer real scientific insight. The position offers the scope to pursue these directions and the backing of an active international research network. The department is increasingly engaged in research
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
, metallography, engineering), and embedded in an international network of project partners. We actively support and encourage involvement in securing follow-up funding as part of the role. Your tasks # Developing
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details here). The Rhine-Main Neuroscience Network (rmn²) offers further collaboration opportunities within the Rhine Main region. Finally, the successful candidate will teach practical and theoretical
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on massive datasets that exceed the capabilities of single-node systems. A key objective is the development of efficient iterative algorithms for training networks based on random features, which can be