53 programming-"the"-"DAAD"-"U"-"Prof.-Dr"-"Diamond-Light-Source" positions at Technical University of Munich
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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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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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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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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
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related discipline. Strong expertise in machine learning, spiking neural networks, and computer architecture. Excellent programming and research skills. Interest in translational research and
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., agronomy, crop modelling, data science, geoinformatics) - Proficiency in at least one programming language commonly used in the processing of research data (e.g., R, Python), and a solid understanding of ETL
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related discipline. Strong expertise in medical imaging and/or machine learning. Excellent programming and research skills. Interest in translational research and interdisciplinary collaboration with