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diversity outreach. We will help you grow a competitive and international career profile. You will also be part of the materials science ecosystem at TU Munich (e-conversion excellence cluster, Munich Data
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/datenschutz/Bewerbung/. By submitting your application you confirm to have read and understood the data protection information provided by TUM. Technische Universität München TUM School of Engineering and
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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informatics, data science, or related subjects, • with a strong passion for entrepreneurship and/or family business research, • with a solid knowledge of empirical research (e.g., quantitative or experimental
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Advanced software development and data analytics skills Hands-on mentality with first practical experience in developing innovative technology Inquisitive and passionate about research and knowledge transfer
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Computer Science and Pathology is shared between the TUM School of Computation, Information and Technology (CIT) and the TUM School of Medicine and Health. The candidate will be part of both labs and will spend 6
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TCR diversity is extremely high (>> 108), and it is not yet possible to precisely predict targets from TCR sequence data. Deciphering the ‘TCR recognition code’ is currently one of the most thrilling
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, (electro)chemical engineering, mechanical engineering, materials science & engineering, or a related field. They should be familiar with the working principles of photoelectrochemical energy conversion
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wellbeing. They will use modeling approaches to combine natural and social science data. You will focus on developing and implementing mixed modeling approaches to test pathways through which structure
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, Information and Technology, which provides the potential for many collaborations. TUM Campus Heilbronn is home to students and faculty from more than 50 countries, as the entire curriculum is taught in English