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in inorganic synthesis and/or Schlenk-line preparations Experience with scientific programming (e.g., MATLAB, LabView) is advantageous Experience performing quantum chemistry computations (e.g., DFT
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408. The Technical University of Munich (TUM), as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUM has established the Collaborative Research
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Your Benefits Offer: We offer the opportunity to work on a cutting-edge project with access to a unique population dataset within a dynamic and supportive research environment. Join us in shaping the
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to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new
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to advanced instrumentation and interdisciplinary collaborations A supportive and dynamic scientific environment Participation in symposia and conferences Opportunities for teaching and professional development
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collaboration, transdisciplinary cooperation with practice and an overall dynamic development characterize its research profile in the fields of education, culture, political science, management and technology as
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research deals with both emergence and collapse of authoritarian regimes as well as their dynamics and transformation. Job description: The project focuses on studying long-term mechanisms of survival
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measurements at on- and offshore wind farms and a high-performance computing cluster. Almost all our projects combine analyses at more than one of these infrastructures. Further information is available
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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(MHH). The project is funded by the Wissenschaftsräume programme of the state of Lower Saxony and the Volkswagen Foundation. Your tasks will include: Design the physical intervention component of the app