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. Knowledge of university processes and structures. Initial experience in academic work (e.g. previous academic studies, collaboration on publications). Experience with statistical programmes. What we offer
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full professors, one associate professor, several postdocs and about 10 PhD and master students. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a
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, interdisciplinarity and philosophy of engineering. Your duties will include active participation in research, teaching and administration at the Department of Philosophy in the research area of computational philosophy
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6020, Austria [map ] Subject Area: Numerical Mathematics and Scientific Computing Appl Deadline: 2025/08/27 11:59PM (posted 2025/08/07, listed until 2025/08/27) Position Description: Apply Position
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enhancement methods to be coupled to model-free analysis of molecular dynamics simulations. This includes work in the biochemical wet-lab as well as with prototype NMR spectroscopy and computational tasks. You
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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: the opportunity to obtain a
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. To strengthen our team in Vienna, we are looking for a: Your qualifications as an Ingenious Partner: Completed technical studies (Master’s degree or equivalent) in computer science, data science, software
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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production
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Technologies, Wireless Systems (6G) and Digital solutions for crisis & disaster management. The research field Computer Vision within our Competence Unit “Data Science & Artificial Intelligence ” is leading in
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, business informatics, or business analytics Initial practical experience in academic writing and research methods in the field of Operations Research (esp. exact and heuristic solution methods) Teaching