138 parallel-computing-numerical-methods positions at UNIVERSITY OF VIENNA in United Kingdom
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. Philipp Petersen, M.Sc.. The research areas developed by the team are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms
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years at the Institute of Biological Chemistry at the Faculty of Chemistry. Your position is at the AG Kurzbach, which works on the development of unconventional magnetic resonance methods, including
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-linguistic cognitive functions. The experimental methods used in the group include EEG, eye-tracking, fNIRS and behavioural methods. The PhD candidate will be integrated in the Vienna Doctoral School
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adminstrative affairs, which means: Conducting research projects in the field of microbial biotechnology. Gene cloning using a variety of methods. Generating recombinant bacteria. Testing bacteria
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bases, studying how the brain maintains or changes functionality over time, and probing its evolutionary origins and development. Our PhD program is tailored to individual career tracks and includes
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39 Faculty of Computer Science Startdate: 07.09.2025 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 07.07.2026 Reference no.: 4408 The position
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home of several third-party funded research projects. Through cooperation with numerous academic institutions worldwide, the Department is very well connected with the international scholarly community
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. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a supercomputer shared by Austria's major universities. We focus on the development of methods to solve the many
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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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applicants for a 6-month paternity leave replacement who have a strong interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental