25 high-performance-computing Postdoctoral research jobs at Technical University of Munich in Germany
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Documented expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills
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coordinate national and international in-situ analytical campaigns, performing on-site documentation and analysis in collaboration with partner institutions. • Support students supervision (Bachelor’s
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23.10.2025, Wissenschaftliches Personal Automated cell culture systems are transforming the way we study complex biological processes. By enabling reproducible, standardized, and high-throughput
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benefits are in accordance with the German public sector scale, TV-L E13. Your Qualification: Strong mathematical background (e.g., linear algebra, optimization, formal methods, convex geometry). Master's
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(clinic & AI) Modern work environment with state-of-the-art facilities and infrastructure Access to unique clinical datasets and high-performance computing Flexible working hours (19.25–38.5 h/week), 30
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for two years, with the possibility of extension, depending on performance and project needs. Qualifications • For Doctoral Candidates: Master’s degree in Computer Science or Mathematics. • For Postdoctoral
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for 3 - 6 years, with the option to enter the habilitation program in the format of 3 + 3 years. The salary will be determined according to the German collective wage agreement in public service (TV-L 13
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, investigates how children and adults actively seek, select, and evaluate information to learn about the world. The lab combines behavioral, computational, and cross-cultural approaches to study curiosity
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systems. Design and implement algorithms that enable shared control between human operators and autonomous systems to improve teleoperation performance. Maintain active communication and collaboration with
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods