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architectures (including gap-waveguide technology) to maximize isolation, efficiency, and compactness. The successful candidate will engage in antenna design, electromagnetic modeling, array integration, and
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-project is to develop and apply advanced, patient-specific models of the knee joint fo design iteration and optimisation. Specific duties: Develop and apply a finite element model of a knee arthroplasty and
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, biochemical, ecological and physiological measurements and experiments with remote sensing and numerical modelling to create in-depth understanding of the processes that control estuarine and delta systems. One
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: Develop data-driven numerical models (opinion models, norm dynamics, multi-agent systems). Network Science: Study social and temporal interaction networks using network physics tools. Simulation: Conduct
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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range of approaches including laboratory experiments, field observations, fundamental analyses, and numerical modelling. The assistant professor recruited within the MEIGE team (Modelling, Experiments and
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tests and column tests Active laboratory work and coordination of experimental activities Advanced 3D nonlinear finite element modelling using Abaqus, including ambient and fire conditions Model
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kinetic models and their hydrodynamic limits. Dispersive phenomena in kinetic theory. Quantum gases. Applicants must hold a PhD degree in mathematics, physics or a related field. We seek candidates with
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numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid
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workflow for the analysis of single-crystal diffuse scattering. In this project, you will have the opportunity to contribute towards reaching this challenging aim. Your tasks include: Deducing numerous