74 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" positions at UNIVERSITY OF VIENNA
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responsibilities, including: You develop an independent research profile in the fields of trace element analytics and speciation. You contribute to research projects and scientific studies on the environmental
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courses in accordance with the collective agreement, as well as active participation in research, teaching and administration, and the development of your own research profile is expected. Your future tasks
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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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. Ready to be part of our team? Let’s shape the future together! About the team: Our group develops and applies quantum mechanics-based methods for the description of condensed matter systems, including
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), our team focuses on multi-scale simulations to enhance the understanding of typical and pathological movement development. We collect and analyze three-dimensional motion capture data and medical images
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profile development, combining method development, application to real-world problems, and collaboration with experimental groups. Your project will complement ongoing work by other members in the group
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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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). In addition, the position involves the establishment of an independent research agenda and the development of innovative teaching approaches. The position will be based at the Faculty of Mathematics
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of influence: As a Data Steward at the Centre for Microbiology and Environmental Systems Science you will support the scientists in the sustainable handling of research data and the development of strategies
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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