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professional life 30 days of vacation, annual bonus payment in accordance with TVöD Bund (German federal civil service collective agreement), and company pension plan (VBL) Discounted company or Germany ticket
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related discipline. Strong expertise in medical imaging and/or machine learning. Excellent programming and research skills. Interest in translational research and interdisciplinary collaboration with
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- Knowledge of quantitative data collection and analysis - Knowledge of French - Willingness to learn Phyton as a programming language - Experience in analyzing non-verbal communication - Specialist knowledge
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related field PostDoc track: PhD in a relevant discipline with a record in medical image analysis / ML Strong programming skills (e.g., Python, PyTorch/TensorFlow; image processing frameworks) Background in
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programming (C++, Python), and experience with ROS Experience with simulation tools such as MuJoCo, Gazebo Strong project management and mentoring skills Excellent command of English; German is a plus but not
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arms, tactile sensors) Familiarity with model-based planning approaches, robot force/motion control, and reinforcement learning Proficiency in programming (C++, Python), and experience with ROS
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technologies to fundamental physics questions. The advertised positions will be part of the project “QS-Gauge: quantum simulation of lattice gauge theories”, funded by the Emmy Noether programme of the DFG
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that have already been verified or from people with an equivalent status will be particularly welcomed. Your application should contain a CV, a publication list and a research plan that fits the research
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to teach as part of the institute’s Masters and doctoral program but will not be required or expected to do so. The salary is paid according to the German TV-L system (the salary agreement for public service
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available in the further tabs (e.g. “Application requirements”). Programme Description Applicants holding a PhD or who are eligible to be a junior professor in the historical humanities are invited to apply