648 quantum-physics-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" positions in Germany
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Field
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Investigating the performance differences between lab-scale cells and large-scale stacks to identify loss mechanisms during the scale-up process Quantification of generated products and gas crossover to establish
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, for example by focusing more strongly on laboratory-based analysis of existing environmental samples (e.g., river samples from Thuringia or snow samples from Antarctica), on inverse or process-based modelling
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in Physics, or a lab-based natural science. Demonstrated expertise in operation, maintenance, and troubleshooting / repair of complex automated instrumentation. Knowledge of software (e.g. Labview
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of the research areas with list of potential supervisors, list of training opportunities, programme details, description of the different stages of the selection process, and detailed instructions
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 4 hours ago
of MR physics and sequence development are welcome. Our mission is to build a supportive and inclusive environment, and we highly value scientific curiosity and motivation. Ideal candidates also have a
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well as to do computationally-based modelling within the research area of theoretical condensed matter physics, with a special focus on ultrafast magnetism, such as modelling of ultrafast spin currents, theory
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the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence
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opportunities, programme details, description of the different stages of the selection process, and detailed instructions for the application process, including templates, timelines and FAQs, are available via
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varied, and the results will be compared with existing experimental data. You will learn how complex thermal process are modeled and simulated, develop an understanding of computational methods in practice
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-mobility, aerospace, or sustainable energy supply: excellent teams are working here to shape the future. The »AI-supported simulation« team combines physics-based simulation approaches with efficient and