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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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, a research component and a teaching component. In terms of research, you will be expected to: Develop and implement a coherent and original programme of high-quality empirical research commensurate
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to the faculty committee of the Doctoral School within one year after coming to Vienna (Faculty public presentation). You independently teach courses in the BA program (proseminar, case study), one course per
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sphere of influence: The Doctoral School Computer Science DoCS (https://docs.univie.ac.at ) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas
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Studies (ViCAS), the international networking of scientists at our university is to be promoted via incoming fellowship programmes for young scientists (Junior Fellows), as well as for internationally
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development and teaching of courses in the Bachelor's and Master's degree programmes in Chemistry. On the one hand, you will play a key role in the practical introduction of students to a broad spectrum of
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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
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training and in the area of language education. Successful candidates will be part of the team that supervises and develops the Master’s degree programme ‘German as a Foreign and Second Language’ and are
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applications. In 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
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an innovative perspective on research-led museums studies within the art history program. Your responsibilities include: developing and leading a dynamic research agenda in museum studies; designing and teaching