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computation, with potential links to hydrogen engine research and broader digital twin technologies. You will gain expertise in: Computational modelling of materials (e.g., FEM, crystal plasticity, or phase
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record in theoretical and/or computational mechanics Knowledge, Skills, and Abilities Excellent analytical and mathematical skills Proficiency in numerical analysis using finite element method (FEM
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applications. This would include CAD design, FEM software analysis, fabrication and assembly abilities, supply chain assessment and identification, hands on assembly abilities for mechanical systems, etc
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material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing
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material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing
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Using finite element modelling (FEM) to simulate different hole configurations and validating these models with cadaveric femur specimens, this study will provide crucial insights to optimise
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modeling for neurobiology, including finite element modeling (FEM) or system identification methods in medical applications About the Department The Department of Biomedical Engineering is an academic unit
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qualifications (preferable) EU B driving license. Drone pilot certification. Basic skills in low-level programming or embedded systems. Experience with simulation tools (Gazebo, Unity). Familiarity with FEM
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automotive lightweighting, we are seeking a Senior Lightweight Design and Simulation Engineer with advanced skills in Finite Element Modelling (FEM) and Topology Optimization. This position focuses
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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint