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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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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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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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and determination? We are currently seeking a/an University Assitant (praedoc) - Completion Contract 37 Faculty of Business, Economics and Statistics Job vacancy starting: 01.11.2025 (MM-DD-YYYY
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bargaining agreement. Required Qualifications/Position Requirement: Completed diploma or master's degree in mathematics or a related field before the contract starts (e.g., statistics or Computer Science
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bargaining agreement. Required Qualifications/Position Requirement: Completed diploma or master's degree in mathematics or a related field before the contract starts (e.g., statistics or Computer Science
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Above-average academic success (at least in the field of civil and corporate law) Excellent computer skills (MS-Office) Experience in working with databases Very good written and spoken English Very good
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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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, 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