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: Dynamical Systems Control Theory Formal Methods Reachability Analysis Computational Geometry Context The applicant will be directly advised by Prof. Matthias Althoff (https://www.ce.cit.tum.de/cps/members
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the dynamical and structural properties of energy materials with a
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budgets be accounted? What are the potential designs of effective monitoring setups? Can operators and tourists be sensitized to the impact of their presence, and how can knowledge contribute to modes
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and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent challenges facing science
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development with flexible working hours, the possibility of mobile work and many tailored training and development programs, and are equipped for this in the best possible, modern and comprehensive way. take up
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ability to work in an interdisciplinary manner Creativity and a strong spirit of discovery to develop new research approaches Experience in planning and conducting experimental studies Very good data
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for the reward funds. Note that candidates are in no way expected to read this background material for the application. We provide the link here so that potential applicants can better assess whether they find
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static and dynamic 3D reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim
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the student solutions using machine learning. We offer: - International and gender-balanced group - Dynamic and collaborative work style - Flexible working hours, home office possibilities etc. - Full-time