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Field
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(MHD) simulations to model the large-scale flow and particle-in-cell (PIC) simulations to study particle kinetics on microscopic plasma scales. In addition, recent detections of electromagnetic flares in
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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communicate research results through excellent written and oral communication skills in English? Then do not hesitate to apply! Experience with reservoir simulation, heterogeneous heat storage modelling, energy
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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together complementary expertise. Objectives of the PhD - Define the sizing and operating conditions of the expansion machine to optimize coupling with the linear alternator, using a dedicated simulation
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of physics-informed machine learning proxy models for large-scale CO₂ storage. The project addresses the significant computational burden of numerical simulation and optimisation of large-scale CO₂ storage
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and materials simulations at the institutes PGI-12 and IET-3. Thereby, Forschungszentrum Jülich will provide you with an ideal environment for your project with unique possibilities to access the latest
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simulation, heterogeneous heat storage modelling, energy systems modelling, techno-economics is considered a plus, but we can are happy to provide support on these aspects! TU Delft (Delft University
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candidate will gain training in chemical biology, molecular genetics and cell biology, and use physiologically relevant in vitro and in vivo models. The work will be carried out in an interdisciplinary
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-connectivity Communication system modelling, performance analysis, and simulation. Optimization tools and machine learning techniques. Hands-on experience with software-defined radios (SDRs) and/or