51 evolution-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
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, the focus lies in the development of an optimized immobilization protocol for each pathway enzyme. Research Assistant/Doctoral Candidate (m/f/d) in the subject area of Biocatalytic Vitamin B6 production
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interoperable methodological framework for AI in gynecological oncology. Your tasks: You will contribute to the development of explainable AI systems and the core methodological framework: Contribute
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development of methods for the non-destructive investigation of the pyramids of Giza in Egypt (World Cultural Heritage) in cooperation with our partners by using acoustic imaging techniques as part of
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Technical University of Munich, one of the top universities in Europe. It is distinguished by excellence in research and teaching, interdisciplinarity, and talent development. Additionally, it maintains
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professional development, including teaching, supervision, and leadership roles Competitive compensation in line Collective Agreement for the Civil Service of the Länder (TV-L). TUM strives to raise the
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Development: Access to high-quality training, networking opportunities, and career development support. Team: Opportunity to work in a dynamic, international research team. Application Procedure How to Apply
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provide quality assurance for research and software development tasks Define the overall architecture of the VIOLET research prototype, focusing on its role as a methodological demonstrator and ensuring
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intestinal microbiome in shaping human health. Changes in the composition and function of this complex microbial ecosystem contribute to the development of chronic intestinal diseases, including inflammatory
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opportunities to present your work at renowned academic conferences. • Access to comprehensive training programs and individualized development support to foster your academic growth. • The opportunity
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-of-the-art in neuromorphic computing. Algorithm Development: Design and train SNNs tailored to automotive tasks. Select and design appropriate edge hardware platforms for deploying SNNs in cars. Optimise AI