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/nanofabrication, l’électronique de puissance, l’encapsulation et l’intégration électroniques. • Expérience avec les outils de simulation numérique et les outils de calculs : Ansys HFSS, Matlab etc. • Fort intérêt
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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
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techniques (e.g. StarCCM+, OpenFoam, Matlab, LabView, Rhino, PIV, openwater, cavitation, noise tests.). Prior research experience in propeller, wind/tidal turbine design and optimisation is highly desirable
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vulnerability analysis of reinforced concrete buildings and probabilistic modelling of the seismic performance of buildings in Matlab and/or Python. A1.4.) Experience in seismic vulnerability analysis
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/nanofabrication, power electronics, electronic packaging and integration.• Experience with numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc.• Strong interest in multidisciplinary
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, robust/distributed control, data-driven identification/control, numerical optimisation. Strong programming skills in at least two of the following: Julia, MATLAB, C/C++, Python. Demonstrated ability
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/nanofabrication, power electronics, electronic packaging and integration.• Experience with numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc.• Strong interest in multidisciplinary
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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a strong background in one or more of the following areas: nonlinear (Lyapunov-based) analysis tools, software skills with Matlab or Python, and strong writing skills. Special Instructions
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or machine learning. Excellent programming skills (e.g., MATLAB, Python, or ROS), a strong publication record, and an ability to work collaboratively in multidisciplinary environments are essential. Prior