97 programming-"the"-"DAAD"-"U"-"Prof"-"EURAXESS"-"MASARYK-UNIVERSITY"-"UCL" positions at University of Vienna
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of written and spoken English. You are expected to subscribe to the PhD program of the VDSEE Doctoral School . What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially
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. Excellent command of written and spoken English. You are expected to subscribe to the PhD program of the VDSEE Doctoral School . What we offer: Work-life balance: Our employees enjoy flexible working hours
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of research interests / ideas for a prospective doctoral project proposal With a plan for the completion of the doctorate With a confirmation of enrolment in the doctoral programme/having passed the FÖP Via our
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areas. Your future tasks: Successful candidates will actively participate in the training of archivists, further develop the training program in consultation with the archives, coordinate external
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-omics extraction techniques for various sample types. An understanding of the statistical principles behind current best practices in the field. Strong experience using programming languages such as R and
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in translation and interpreting, and 2) translation and interpreting in social, institutional and media contexts. The Centre offers the following study programmes: Bachelor’s programme “Transcultural
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scientific curriculum vitae / letter of intent With your summary of research interests / ideas for a prospective doctoral project proposal With a plan for the completion of the doctorate With a confirmation of
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organise scientific events. You prepare and complete a publication-ready habilitation. You hold courses independently in the Bachelor programme „Languages and Cultures of South Asia and Tibet” and the Master
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experienced programmer, preferably using the Python programming language. You are interested in automatic algorithm configuration, and have perhaps even worked on related problem areas of artificial
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to the department Ph.D. 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