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Software Development Context, API Design and Engineering, Design and Architecture of Microservice Design, Software Engineering for Machine Learning, Code Analysis/Generation for Machine Learning and MLOps
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expertise in fields that are of great important for the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and
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reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need
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DoCS fellow in the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group “Data Mining and Machine
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DoCS fellow in the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group “Data Mining and Machine
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knowledge: programming skills (preferably python or R), knowledge of machine- and deep learning, bioacoustic analysis skills, database management Desirable experience: animal behaviour research Willingness
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projects and scientific studies in the area of Operations Research and Machine Learning. We expect you to complete your dissertation agreement within 12-18 months. You will work on your dissertation and its
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., knowledge representation and reasoning) and bottom-up (e.g., machine learning) methods to study the representation of geographic categories and processes. While we welcome applicants from a broad range of
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supervise students. You will independently teach courses within the scope of the collective agreement. You will assume administrative tasks in research and teaching. This is part of your personality
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teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our