27 associate-professor-computer-science "https:" "https:" Fellowship research jobs at DAAD in Germany
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(s), incl. explanation of grading System; Proof of Enrolment for Master's programme; Proof of English proficiency; One letter of recommendation from a professor of the applicant’s home institution
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disciplines are eligible: legal sciences political science/international relations business/economics humanities and social sciences natural sciences computer science medicine architecture, only in connection
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for up to 6 months in Lower Saxony (Germany). The programme is a funding initiative of zukunft.niedersachsen, a joint programme of the Lower Saxony Ministry of Science and Culture and the Volkswagen
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available in the further tabs (e.g. “Application requirements”). Programme Description The Carl Duisberg fellowship offers individual support to students in the disciplines of human or veterinary medicine
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science
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available in the further tabs (e.g. “Application requirements”). Objective The primary aim of this programme is to promote the research projects within the context of the doctoral degrees and scientific
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available in the further tabs (e.g. “Application requirements”). Programme Description The Leibniz Institute of European History (IEG) in Mainz awards fellowships for doctoral students in European history
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at the time of their application; they are required to have obtained a PhD or an appropriate academic qualification. Applicants must hold one of the following titles: Professor, Associate Professor, Research
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available in the further tabs (e.g. “Application requirements”). Programme Description Highly-qualified international scientists and scholars from all disciplines who completed their doctorates less than 12
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data