55 programming-"the"-"DAAD"-"EURAXESS"-"Prof.-Dr"-"IMPRS-ML"-"CSIRO"-"U.S"-"UCL" positions at Technical University of Munich
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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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. 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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- 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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. 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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an interdisciplinary career skills programme across Europe. The Technical University of Munich (TUM) is one of the best universities in Europe. It is characterised by excellence in research and teaching
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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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autonomous systems Fluent English (spoken and written); German proficiency is a strong plus Ability to work independently, willingness to learn and acquire new competence Strong programming skills (Python, C
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and networking opportunities within the Munich AI ecosystem and within structured graduate programs: the Munich Centre for Machine Learning (MCML), the Munich Data Science Institute (MDSI), the local
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in production engineering issues and their investigation Enjoyment of supervising and programming technical systems Purposefulness and independent working style Creativity and willingness to experiment
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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