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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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“Commended Paper Award” of the IFAC MIM conference. Prof. Otto actively engages in academic governance, serving as an editorial board member of leading scientific journals as well as a program committee member
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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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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development of an optimized immobilization protocol aiming for high activity, stability, and reusability. The Department of Chemistry of Biogenic Resources at the Technical University of Mu-nich's Straubing
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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