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of the most difficult problems in computational science. The ideal candidate will have prior exposure to modern developments in at least one of these fields: functional analysis, numerical analysis
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variety of methods. Generating recombinant bacteria. Testing bacteria for the production of new natural products. Data analysis. Contributing to collaborate projects. Contributing to writing publications
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to invite applications for a University Assistant (Praedoc / PhD Candidate) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial
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better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Computational and Soft Matter Physics Group at the Faculty of Physics invites
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interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental design, and agent-based modeling to address problems in
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analysis of classical problems in numerical analysis in the framework of modern algorithms of machine learning. Our ideal candidate will have prior exposure to modern developments in theoretical machine
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surfaces machine learning methods, and/or the development of novel solutions to the many-body Schrödinger equation. Applicants with proven experience in the development of new computational methods and their
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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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, hydrology, environmental science, or a related field. Experience or strong interest in experimental and numerical geophysical methods and quantitative data analysis is especially welcome. The successful
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and determination? We are currently seeking a/an Technician / Data Manager 39 Faculty of Computer Science Job vacancy starting: 01.09.2025 (MM-DD-YYYY) | Working hours: 30,00 | Classification CBA