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efficient and safe trajectory planning in safety-critical scenarios. For this purpose, we focus on modeling and quantifying risks in order to subsequently incorporate them into trajectory planning. The goal
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communication, time-management skills, commitment to laboratory safety & handling laboratory equipment with care, and strong willingness to cross the borders between biophysics and food-related research. We
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E13; 65%) and including social security, health insurance and several employee benefits. The position is based at TUM’s School of Life Sciences in Freising, approx. 30 minutes north of Munich. Our
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failure mechanisms. The performance of the developed methods will be evaluated using real operating data. In addition, it will be investigated how reliability and safety conditions can be taken into account
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on Responsible Data Science. The PhD positions will be at the intersection of Data Science and Social Sciences and will focus on topics such as Explainable & Fair AI, AI Auditing, AI Alignment, and AI Safety in