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Experience with simulation tools (e.g., COMSOL, FEM, MATLAB, or similar software) Knowledge of optimisation methods, data-driven modelling, or control strategies is advantageous Understanding
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in modelling and simulation. The successful applicant will play a key role in teaching and practice-oriented research, with a focus on industry engagement and interdisciplinary applications. In
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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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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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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
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incorporating lecture, lab and small group learning. Duties & Responsibilities: Teach small animal clinical and surgical skills and communication and professionalism to DVM students using models, simulations
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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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-way theory-simulation loop will provide the nuclear data and modeling tools needed to interpret future cosmic-ray antinuclei searches
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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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or to optimise model parameters in large-eddy simulations. 3. Predicting extreme events, such as sudden bursts or high-drag episodes, using assimilated flow fields and physics-informed forecasting models. 4