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propose to combine machine learning techniques with formal methods. We will focus on safe reinforcement learning of motion planning problems for autonomous vessels. Motion planning is particularly
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for an interdisciplinary project that combines physics and biology together with simulation and data science and practical relevance A master`s degree or diploma and subsequent PhD in biophysics, biology, biochemistry
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to learn and set up on-site research Preparing scientific publications and project reports Your Profile: Strong motivation for an interdisciplinary project that combines physics and biology together
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26142 Postdoctoral fellow in Bioinformatics (m/w/d) Stellenanzeige merken Stellenanzeige teilen wanted
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50 years ago. With a broad range of subjects, we combine exceptional performance with great innovative potential. As an ambitious research university, we stand for the approach of research-based
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
methods. Further information about the project, the research group, and the diverse additional opportunities for postdocs can be found on the website: https://zemki.uni-bremen.de . Your Responsibilities Co
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
related field. Experience with time series data analysis (e.g., EEG, physiological signals, behavioral data), ideally combined with a solid background in statistics. Interest in or familiarity with
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for safety-critical bilateral teleoperation. The research will leverage a combination of passivity-based control methods and machine learning techniques to enable reliable and robust teleoperation in uncertain
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for the next possible date at the Institute of Experimental Cardiology. We are seeking a highly motivated and creative Postdoc for a combined wet and dry lab project (https://tinyurl.com/postdochd) in
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combine individual elementary process steps for realizing fully functional process chains. Therefore, investigating feasible and resource-efficient process chain solutions by supporting and driving