551 data-"https:" "https:" "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" PhD scholarships in Germany
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Field
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communication systems for AI-driven applications. The objective is to investigate, design, and experimentally validate information-theoretically secure coding schemes tailored to the demanding requirements
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | 2 months ago
/a80ace31bc24e179d76b7109f4d7c05af… Requirements Additional Information Website for additional job details https://jobs.helmholtz-muenchen.de/jobposting/a80ace31bc24e179d76b7109f4d7c05af… Work Location(s) Number of offers
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well as the preparation of a research proposal and framework should be undertaken at an early stage within the programme. Current information Please check our website for information on current research subjects: https
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, Information and Communication Technologies for Manufacturing, Equipment and Service Engineering, Material and Process Engineering, Intelligent Manufacturing Systems. Course organisation GSaME has self
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Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: oliver.hausdoerfer@tum.de More Information https://lnkd.in
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partner institutions: Finnish Graduate School Helsinki, University of Stockholm, University of Graz, University of Bergamo, Catholic University of Lisbon, or University of Warwick. For more information, see
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astrophysics, condensed matter physics and solid state theory, statistical and biological physics, mathematical physics, quantum information theory, and nuclear physics. Course organisation All graduate studies
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Technical University of Munich School of Computation, Information and Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https://www.ce.cit.tum.de/en/lti/team/boche
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the reference number 27697, via our online portal: Apply now via https://jobs.uksh.de/job/Kiel-PhD-%28mfd%29-Statistical-Genetics-Machine-Learning-Schl-24105/1279933701/ For more information visit: www.uksh.de
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development and validation, you will also participate in the planning and execution of laboratory experiments and the analysis of the collected data. The project is being carried out in close collaboration with