57 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"O.P"-"Prof"-"P" positions at Technical University of Munich
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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 and
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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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to design and evaluate programs that enhance community wellbeing. The project is a collaboration between the University of Global Health Equity (Rwanda), TUM, NYU Abu Dhabi, and the Government
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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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. 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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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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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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or School of Management and participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics strong
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of Management and participation in the related Graduate School training programs. Qualifications The applicants should possess: - an excellent or very-good university degree in economics, environmental economics