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- Technical University of Munich
- Nature Careers
- Heidelberg University
- Leibniz
- University of Greifswald
- Christian-Albrechts-Universitaet zu Kiel
- Deutsches Elektronen-Synchrotron DESY
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the University of Greifswald’s
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Possibility of mobile work and part-time work Family-friendly working environment Sustainable travel to work: subsidized Germany job ticket Our Corporate Health Management Program offers a holistic approach
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research projects. Your Profile Master’s degree (for PhD-level appointment) or PhD (postdoc-level), or equivalent expertise in epidemiology, biomathematics, applied mathematics, computer science, biomedical
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have the following: • Ph.D. in electrical engineering, physics, computational science, medical technology, biomedical computing, natural sciences, or a related discipline. • Excellent track record
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years) Contract:TV-L Your Tasks Contribute to use cases for novel diagnostic tools and develop and implement mathematical and computational models (microsimulation, agent-based, state-transition
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independent and creative research; Solid programming experience in C++ and/or Python, and familiarity with modern robot learning frameworks; Proven expertise in one or more of the following areas: robot
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combines cutting-edge computational techniques with traditional social science methods and we are equally interested in methodological innovation and in the broader consequences of automation for democratic
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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adults actively seek, select, and evaluate information to learn about the world. The lab combines behavioral, computational, and cross-cultural approaches to study curiosity, exploration, and reasoning
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-on experience with robotic hardware (e.g., robot arms, tactile sensors) Familiarity with model-based planning approaches, robot force/motion control, and reinforcement learning Proficiency in programming (C