67 computer-science-programming-languages-"the"-"U"-"UCL"-"IMPRS-ML" positions at UNIVERSITY OF VIENNA
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candidate to acquire, within three years, proficiency in German sufficient for teaching in bachelor’s programmes and for participation in university committees. We offer: a dynamic research environment a wide
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in German sufficient for teaching in bachelor’s programmes and for participation in university committees. We offer: a dynamic research environment a wide range of research and teaching support
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the University The University of Vienna expects the successful candidate to acquire, within three years, proficiency in German sufficient for teaching in bachelor’s programmes and for participation in university
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the successful candidate to acquire, within three years, proficiency in German sufficient for teaching in bachelor’s programmes and for participation in university committees. We offer: a dynamic research
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and administrative responsibilities within the Faculty and/or the University The University of Vienna expects the successful candidate to acquire, within three years, proficiency in German sufficient
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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
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research activities in the field of applied and computational PDEs in a coherent manner. Current research covers a wide range of applications, including biology, materials science, and astrophysics, and uses
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develop Digital and Computational Methods for Historical Source Analysis and Edition with a focus on the Modern Period. They will work on new developments in computer science and digital best practice in
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departments and faculties at the University of Vienna, whose focus lies on theory and applications in the field of data science and machine learning. The Faculties of Mathematics and of Computer Science, which
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actively participate in research, teaching & administration, which means: Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models