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increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms. The selected candidate will play an integral part in the group's
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39 Faculty of Computer Science Startdate: 01.01.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.03.2026 Reference no.: 4319
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39 Faculty of Computer Science Startdate: 15.12.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 14.03.2026 Reference no.: 4318
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-relevant media are a strong plus. Very good organizational skills are highly desirable. Knowledge of parallel computing and use of GPUs are desirable. Supervision and teaching experience is an advantage
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to sub-1 µm with ablation rates up to 500 Hz. Today this platform is at the forefront of elemental bio-imaging, referring to the measurement of endogenous and exogenous metal distributions in tissue
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balance: 30 hours that can be distributed over the entire week. Inspiring working atmosphere: You are part of an international team with excellent research infrastructure. Good public transport connections
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, and high-performance computing for biotechnological applications. The project aims to develop computational tools for bioprocess optimization, combining modeling, simulation, and data-driven methods
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record in in situ cryo-ET, complemented by expertise in sample preparation, image analysis, and/or integrative modelling. The successful candidate will develop and lead an independent research programme
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economics, psychology, engineering or computer sciences: e.g. M.Sc. in economics, M.Sc. in industrial engineering, M.Sc. in information management, M.Sc. in psychology Independent of their background, all
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mandatory) Therefore, very good knowledge of Austrian criminal law and criminal procedural law Excellent written and oral communication skills Knowledge of university procedures Computer skills An interest in