100 programming-"the"-"DAAD"-"UCL"-"FEMTO-ST"-"IMPRS-ML"-"Prof" positions at University of Vienna
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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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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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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
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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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teaching, the applicant will be involved, inter alia, in the education of fundamentals in mathematics in all study programs of the faculty, esp. in the Master program Business Analytics. The Tenure Track
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you independently teach courses in the BA program (proseminars), one course per semester in a 50% employment contract you support the professor for Islamic art history in research, teaching and
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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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the BA program (proseminar, case study), one course per semester (every fourth semester is free of teaching, according to the employment contract) • You support the professor for Islamic Art History in
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Law or a related subject that allows registration in a Law Faculty doctoral programme at the University of Vienna, for example in the doctoral programme Interdisciplinary Legal Studies. • Desired
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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program