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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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educational programs in health and social science professions, as well as continuing and further education, and several master's programs. The faculty offers the PhD program “Health, Function, and Participation
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, within the Dresden Center for Computational Materials Science (DCMS
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prerequisite that you gain admission to the PhD programme in engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout
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A Doctoral Research Fellowship in Machine Learning for Critical Healthcare is available at the Faculty of Computer Sciences, Engineering and Economics at Østfold University College (ØUC). The research
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education, result of an English test (if you attended a non-English taught MSc program), a publication list (if applicable) and contact details of two referees. Since only three documents can be uploaded per
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advertisement About the position A Doctoral Research Fellowship is available at the Faculty of Computer Science, Engineering and Economics at Østfold University College. This PhD candidate will play a central
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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, electrical engineering, control engineering, computer science, applied mathematics, or a related discipline. You must have a Master's degree or equivalent within one of the specified disciplines. Your
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: Requirements for employment are a completed M.A. or equivalent in a relevant field (Linguistics, Cognitive Science, Biology, Psychology, Evolutionary Anthropology, Philosophy, or similar), near native-level of