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traffic flow models and simulations for pedestrians, cyclists, and drivers of motorized modes, particularly in a shared space context but also for interactions in a general traffic context with dedicated
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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partnership with the German Federal Waterways Engineering and Research Institute (BAW); building a fully coupled model that simulates surface hydraulics and subsurface flow with relevant turbulence models and
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they will investigate novel Cloud and Edge techniques that are built based on Java, Python and C++. The particular research topics of interest include• application development platforms• programming models
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CNR - ISTP (Consiglio Nazionale delle Ricerche - Istituto per la Scienza e Tecnologia dei Plasmi) | Italy | 3 days ago
Ricerca di Tor Vergata, Via del Fosso del Cavaliere, 100 Main topic and research activity: Kinetic‐scale dynamics of space plasmas by means of in situ spacecraft data and Vlasov‐Maxwell simulations
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fieldwork (optional) Project 1: Adapt and implement numerical simulation codes for seismic energy propagation in heterogeneous media using radiative transfer theory Generate regional models of attenuation and
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design, open science practices) and data analytic abilities (for example, meta-analysis, simulation studies, multilevel and/or mathematical modeling) In-depth knowledge of (statistical) programming tools
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suitable for part-time employment. Starting date: 17.10.2025 Job description: Design, develop and apply an flexible and integrative multiscale FWI using GPU-accelerated spectral-element simulations (Salvus
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applications. Your main tasks: Develop and integrate degradation models for multiscale and multiphysics simulations of solid oxide cells Validate models using experimental data (e.g. IV curves, EIS measurements
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degradation models for multiscale and multiphysics simulations of solid oxide cells Validate models using experimental data (e.g. IV curves, EIS measurements) Apply ML methods in combination with CFD