66 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"O.P"-"Prof"-"U" positions at UNIVERSITY OF VIENNA in United Kingdom
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skills in archaeological science or organic chemistry, high motivation and enjoyment of research. Excellent command of written and spoken English. You are expected to subscribe to the PhD program of
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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. M.Sc. in Business or Adjacent disciplines such as
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actively participate in the training of archivists, further develop the training program in consultation with the archives, coordinate external teaching, and conduct innovative research in the field
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skills in archaeological science or organic chemistry, high motivation and enjoyment of research. Excellent command of written and spoken English. You are expected to subscribe to the PhD program of
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of Romance Studies offers Bachelor’s, Master’s and PhD degree programs in five Romance languages and teacher-training courses for secondary schools in three languages (French, Italian and Spanish
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. Experience performing and publishing academic research at peer-reviewed conferences and journals is a plus. You are an experienced programmer, preferably using the Python programming language. You are
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students and participate in examination activities within the Bachelor and Master programs Journalism and Communication Studies. You participate in evaluation measures and quality assurance. This is part of
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. The Department of Romance Studies offers Bachelor’s, Master’s and PhD degree programs in five Romance languages and teacher-training courses for secondary schools in three languages (French, Italian and Spanish
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publication-ready habilitation. You hold courses independently in the Bachelor programme „Languages and Cultures of South Asia and Tibet” and the Master programme “Languages and Cultures of South Asia” within
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. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods such as