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apply a data-driven approach to cross-scale materials discovery and design, in particular, goal-oriented, inverse design procedures based on process-structure-property linkages are of interest
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. Multiscale simulations of the downstream expansion behaviour of the engine exhaust plume for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected
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or for an MSc or PhD (or equivalent) in medical engineering, applied medical sciences, public health, or data science in medicine. It funds students from Germany who wish to carry out research stays, internships
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digitalized society, a climate-friendly energy system, and a sustainable economy. We focus on the natural, life, and engineering sciences in the fields of information, energy, and bioeconomy. We combine
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in the following fields: MTech in Atmospheric and Oceanic Science and Technology Female applicants and candidates from less privileged regions or groups are especially encouraged to participate in
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, Process Engineering, Computational Science, or a related discipline Strong foundation in fluid mechanics, gas–liquid two-phase flows, numerical methods (FVM, FEM), and two-phase flow instrumentation
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Resource Management (SLUSE) IPB: Natural Resources and Environmental Sciences (NRES) UPM: Environmental Biotechnology/Environmental Engineering/Environmental System and Modeling UGM: Planning and Management
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Sciences) UPM: PhD - Food Science/Food Science and Technology (Nutritional, Domestic and Food Sciences) Female applicants and candidates from less privileged regions or groups are especially encouraged
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developed into its vibrant center. The newly DFG-funded Research Training Group “Biomolecular Condensates: From Physics to Biological Functions” (RTG 3120) at TUD Dresden University of Technology offers
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of industrial processes. In a joint effort of both institutes, the Department AI4Quantum – Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD