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interdisciplinary and international team closely working together with colleagues from different medical universities, biomedical engineering and radiochemists. We are enthusiastic about neurochemicals acting as
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(prae doc), for a period of 4 years, focusing on process mining. The selected prae doc will become part of the Research Group Workflow Systems and Technology (WST) at the Faculty of Computer Science and
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: Human-Computer Interaction, Data Visualisation, Data Science, Information Science, Science and Technology Studies, Communication Science or a related field Methodological competence: First experience with
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and graph learning frameworks such as PyTorch, PyTorch Geometric. Knowledge in the field of drug discovery/molecular property prediction and recommender engines (especially using graph learning methods
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(or equivalent qualification) in neuroengineering, computer science, mathematics, electrical engineering or a related field Strong analytic skills and experience in signal processing and machine learning Excellent
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of maintenance and repair work by external companies. This is part of your profile - Must-have: Completed secondary education, e.g. HTL Mechanical Engineering. Very good German language skills (fluent in writing
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, for instance, conflicting interests in space as well as innovation and technology for collective spatial action. You will take on administrative tasks in research and teaching. This is part of your personal
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of the collective agreement regulations. Topics include, for instance, conflicting interests in space as well as innovation and technology for collective spatial action. You will take on administrative tasks in