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Garching campus. TUM’s Department of Computer Science is part of the TUM School of Computation, Information and Technology (CIT). Employment Conditions • Start date: Flexible, from January 2026 onward
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electrophysiology, calcium imaging, optogenetics, animal behavior is preferred, but we are interested in applicants with different backgrounds Background in data analysis, image processing, physics, engineering are
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popularism, surveillance capitalism, and agonistic pluralism; Confidence processing and implementing constructive written and oral feedback; Ability to manage own working time and set internal milestones in
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Hands-on experience in processing thin films and solar cells in the topic of perovskite technology Excellent analytical skills Excellent communication and organizational skills Enthusiasm about solar
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for deformation modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, or a
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
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collaboration with world-leading research groups Selection process Please send your CV (including publication list), contact information for two references and a motivational letter to Jacob (Jacob.Schneidewind
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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on Clostridium carboxidivorans and Clostridium ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction
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physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation