71 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" PhD scholarships at DAAD
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of Position Full PhD Working Language English Required Degree Master Areas of study International Relations, Political Science, Sociology, Social Science, Cultural History, Cultural Studies, American Studies
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of Position Full PhD Working Language English Required Degree Final examination Bachelor Areas of study Financial Management, Insurance, Economics, Accounting, Taxation, Controlling, Economic Sciences
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status will receive preference over equally qualified non-disabled applicants. Research Associate for the Project “Cluster of Excellence Quantum Universe” Searching for axions with astrophysi-cal
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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by post to: Gottfried Wilhelm Leibniz Universität Hannover RTG 3158: Quantum Photonics Laboratory of Nano and Quantum Engineering Schneiderberg 39, 30167 Hannover Germany http://www.uni-hannover.de/en
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of Position Full PhD Working Language English Required Degree Master Areas of study International Relations, Political Science, Sociology, Social Science, Cultural History, Cultural Studies, American Studies
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, Computational Biology or similar, depending on the project(s) you are applying for) and who are qualified to pursue a doctoral degree. In justified exceptional cases, we also accept applications from individuals
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letter Application Application https://www.cens.lmu.de/en/support/career-at-cens/ https://www.cens.de Contact LMU München Center for NanoScience Address StreetGeschwister-Scholl-Platz
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of Chemistry or Materials Science or Physics or related field Kinetic Monte Carlo simulations, quantum simulations, theoretical chemistry Excellent teamwork and communication skills in an interdisciplinary
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties