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As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and
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The Computational Drug Discovery and Design Group (COMP3D, https://comp3d.univie.ac.at/) at the Faculty of Life Sciences focuses on developing computer-based methods, particularly those involving machine learning and
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technical studies (at least MSc.) in computer science, mathematics, electrical engineering, physics, or other related fields. Very good knowledge in computer vision or image processing, especially in
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As Austria's largest research and technology organization for applied research, we have set ourselves the goal of making substantial contributions to solving the major challenges of our time
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other members of the ViCAS operational team - the ViCAS Programme Manager and the ViCAS Communication and Outreach Manager. Overall, your role is critical to the development and success of ViCAS, both
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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar Knowledge in at least one area
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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar (minimum BSc. degree) Good
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Lecturer (academic teaching 20 hours and instructional teaching 10 hours) 53 Faculty of Earth Sciences, Geography and Astronomy Job vacancy starting: 01.09.2025 (MM-DD-YYYY) | Working hours: 30.00
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, limited to 4 years at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant The Faculty
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topic in inorganic chemistry such as – but not limited to – bioinorganic chemistry, chemistry of main group elements and transition metals, computational chemistry, solid-state chemistry of functional