56 programming-"the"-"DAAD"-"U"-"Prof"-"IMPRS-ML"-"O.P"-"UCL"-"Study-Group" positions at Nature Careers in Austria
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Master’s programs. To maximize the departments synergies in research and teaching, we are establishing a “Spatial Sustainability and Digital Transformations Hub”. This hub will be in the lead by a senior
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from you: Applicants should have completed their Master/Diploma degrees (or be very near completion) by the time of their application. We are looking for graduates from: Renowned management programs: e.g
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of courses and a broad and excellent research profile, the study programme offers a sound education in all areas of sociology, including methods of empirical social research. Your workplace: As a Senior
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an interdisciplinary manner. Applicants are expected to lead a future-oriented and interdisciplinary research program focusing on research at the interface of medicine, biology, and information sciences using modern
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field with a strong interdisciplinary orientation that analyses the interactions of science, technology, and society. The department offers the English language master program 'Science, Technology
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The Institute of Science and Technology Austria - ISTA is looking for highly qualified candidates with Bachelor’s or Master’s degrees to apply for the PhD program. We offer fully-funded PhD
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challenges of the next generation. Your workplace: The History Study Programme Management at the Faculty of History and Cultural Studies covers five institutes and offers two bachelor's and six master's
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PhD programs of TU Graz, and be an engaged mentor for our students. At the Department of Computer Science and Biomedical Engineering, undergraduate courses are taught in German or English, graduate
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year, in addition we also offer an attractive career development program and an extensive range of social benefits) Target group §99 (5) positions offer academics with high potential and the relevant
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working across topics and will: Plan, develop and apply advanced computational methodologies to gain fundamental biological insight in the context of diverse single-cell datasets. Drive innovation and