27 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Technical University of Munich
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project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures. Your
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physical methods, we tailor the structural and mechanical properties of bio-based materials to advance the potential of biopolymers in various applications. Key Responsibilities Fiber Spinning Lab
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/ protein biochemistry expertise is of advantage • Experience in analyzing protein structural data (not necessarily acquiring the data) • Having already worked with GFP-like or Bacteriophytochrome-like
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projects with high societal impact A senior, independent research role with habilitation potential Structured mentoring and access to Talent Management programs An interdisciplinary and international working
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for analyzing block-like structures made of limestone and granite - Evaluation of data using acoustical imaging techniques and passive seismic monitoring - Carrying out measurements in a team of experts on and in
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team. You will be enrolled in the TUM Graduate School with its structured doctoral program and professional-skills courses. You will contribute to an French-German collaboration on next-generation
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invited for a structured interview with predefined questions and a scoring system. Reserve List: A reserve list of top candidates may be created for future opportunities. Selection Committee: The committee
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, informed decision-making, and planning. Our research pioneers such algorithms grounded in cutting-edge Data Science techniques, with a focus on intelligent exploitation of problem structures, performance
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and their relationship with greenspace structure and surrounding urban landscape. The results of this work will contribute to tools and guidelines for creating multifunctional and biodiverse urban green
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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