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on model approach to improve vegetation’s impact on energy fluxes and related permafrost dynamics improve the process-based fire model SPITFIRE to better simulate fire effects on tundra vegetation and
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to adapt this technique for single-frame model free post-processing method. The PhD will employ a combination of simulation and experimental validation. First, use and develop existing coronagraphic
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-way theory-simulation loop will provide the nuclear data and modeling tools needed to interpret future cosmic-ray antinuclei searches
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preferably has strong programming skills and experience with the modeling and simulations of fluid or solid mechanics or ice sheet flow and deformation (for example by use of finite element/volume methods
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to align biological protocols with measurement requirements, and with the modelling PDRA to support model parameterisation and interpretation of simulation results. Maintain accurate experimental records
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photogrammetric data Design procedural modeling frameworks for district- and campus-scale built environments Produce interoperable assets (e.g., 3D Tiles, glTF, FBX) supporting downstream simulation platforms
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the development of compact device modeling, SPICE simulation and with programming skills in general programs such as python, Matlab or similar. Experience on memristors is also acknowledged. Experience in circuit
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, process modelling, process support) and Geert Poels (e.g., business architecture, business ecosystem modelling, system-of-systems governance, capability-based management) (https://ugent
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. Knowledge of simulation tools for wireless communication systems; experience in MATLAB/Python (or similar). Mathematical skills for conceptualisation, modelling, optimisation, and analysis of problems
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simulate: Build and mesh 3D model geometries Develop math models and simulation schemes involving steady-state Navier-Stokes and reaction- diffusion equations Use simulations to inform design Stay current