32 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" uni jobs at Technical University of Munich in Germany
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04.11.2025, Wissenschaftliches Personal We are looking for a full-time employee to join our team working on the EUROfusion project, starting on January 1, 2026 as Scientific Advisor to the Program
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. The research associate (doctoral student) is expected to work and conduct research in the area of entrepreneurship and family enterprise while participating in the doctoral program. The position (m/f/x) is
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. Candidates must be eligible for TUM’s Doctoral Program and must not already hold a doctoral degree. Academic background: MSc in Industrial Engineering and Management, Robotics, Engineering, Systems Engineering
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the Doctoral Program at TUM and must not already hold a doctoral degree. Academic background: Master of Science (MSc) in Industrial Engineering and Management, Robotics, Engineering, specializing in Systems
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- Strong interest in research questions linked to marketing, management and psychology - Strong programming skills in C++, C#, OpenXR, Unity, Blender, Unreal Engine - Solid quantitative skills (R, Python
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working in a highly international research team Very good programming skills (Python, C++, etc.) are essential Fluent English language skills (written and spoken) are required Our offer: A full-time
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. Support: Access to TUM’s doctoral program and external opportunities for continuous quantitative training (e.g., GSERM, ICPRS Michigan) and research stays abroad - Environment: Work in interdisciplinary
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entrepreneurship education Data-driven optimization: Establish a systematic assessment and mapping of TUM's entrepreneurship education components to talent journeys Program development: Contribute to strategic
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field. They should have a strong background in photoelectron spectroscopy and (photo)electrochemistry. Being familiar with CAD programs and having knowledge of PVD-based thin-film semiconductor
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Engineering, or a related discipline. • Strong expertise in machine learning, spiking neural networks, and computer architecture. • Excellent programming and research skills. • Interest in translational