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the composition-process-structure-property-performance chain; therefore, enable stability and control of novel manufacturing processes as well as achieving desired properties within materials science and
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Experimental analysis of the sorption kinetics for radionuclides on sheet silicates
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of field measurements with 3D Doppler-LIDAR and ultrasonic anemometers, high-fidelity CFD simulations, and controlled experiments. AI-supported methods for spatiotemporal prediction of microclimatic
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/m/d) Development of soft-sensors connected to particlebased separation models to control flotation processes. Your tasks Develop and implement soft‑sensor concepts for continuous monitoring of ore
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of controlling and improving radio propagation for IAM operations. While Cohort 1 concentrates on high-fidelity finite-element modeling of the electromagnetic near field of meta-surfaces under coupled physical
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background in (not necessarily all) the following fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability
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Associate / PhD Student (m/f/x) Ultrafast detection of THz-controlled light emitters in quantum matter (subject to personal qualification employees are remunerated according to salary group E 13 TV-L
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-voltage PPU that shall power the E-Sail electron emitter, sail and associated devices. The E-Sail electron gun needs a power-processing-unit to provide the required voltages and currents. As a start