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timescales. The research will combine ultrafast pump–push–probe experiments with sub-10 fs resolution, finite-element simulations, and quantum models extending the Tavis–Cummings Hamiltonian. The aim is to
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sequencing, and the overall system design by using finite element modelling (FEM) and machine learning (ML) tools. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR22-MARPEC-007/Default.aspx
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utilized. • You have experience in and like implementing Finite Element routines. • You have very good English language skills. German language skills are of advantage. • You are flexible, can perform
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, materials science, solid mechanics, finite element methods, programming, and/or welding technology is considered beneficial. Success in this position requires the ability to work independently
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appreciated: programming in MATLAB, Python or Fortran scientific computing, e.g., the finite element method dynamic electromagnetics, electrical machines and transformers open-weight AI models, local AI
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Simscape Multibody, Gazebo, Webots, or CoppeliaSim. Knowledge of Finite Element (FE) simulation of mechanical parts and assemblies. Awareness of diversity and equal opportunity issues, with specific
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, finite element methods, and basic scripting (e.g., Python or MATLAB) is an asset, alongside analytical skills. The ideal candidate is motivated to translate engineering science principles into
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Integrated Circuits PhD Studentship: Developing a Finite Element Based Model for Pellet Relocation in Nuclear Reactor Fuel Mechanical and Aerospace Engineering PGRTAs: Enhanced PhD Studentship Join in
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-power electronics and magnetics, using standard lab test equipment. Proficiency in circuit simulation, mechanical CAD, PCB design tools, and finite element electromagnetic analysis software
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their dynamics and functionality. Capture the nonlinear dynamics of these networks using theory and numerical tools e.g. finite-element modelling or discrete mechanical modelling. Explore