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integration of multi-source remote sensing data. Our work aims to extract high-precision spatiotemporal infor-mation on Earth system processes across spatial and temporal scales. Current research themes include
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—such as engine load, fuel flow, and environmental conditions—to optimize combustion and propulsion strategies. This dynamic adjustment ensures that hydrogen, with its unique properties like high flame speed
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-informed machine learning for deformation modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements Ph.D. in Robotics, Mechanical
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experimental and computational research in the areas of novel aviation and maritime propulsion (combustor design, thermo-acoustics, SAF, H2, ammonia) as well as hydrogen mixtures and refrigerant safety
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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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into real-world applications in Geriatronics. Your Profile PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, or a closely related field. Proven experience in
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-performance computing. The working language is English; no German is required. Position & benefits This is a full-time PhD position with a competitive salary according to the German TV-L E13 scale (approx
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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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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
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08.10.2025, Wissenschaftliches Personal The University Hospital rechts der Isar (TUM) is seeking a Data Analyst / Data Scientist (m/f/d) in the field of Medical Informatics. The role involves