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laboratories Gain experience in a range of computational modeling and data analysis techniques, including FEM/FVM and reduced order modeling using software packages that are relevant to the field Develop
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behavior of these components will be developed based on Finite Element Methods (FEM) complemented by Machine Learning models. Legislation and Regulations: Statute of Scientific Research Fellow, approved by
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, anisotropic conductive film bonding and wire bonding Finite element Method (FEM) simulations (MEMS, Electro-static and Quasi-static simulations) Discrete electronic design (Analog and digital design using COTS
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implant loosening and wear/abrasion for anatomical and reverse TSR systems. This includes the use of interfacial BEM or FEM friction and wear models, as well as biological bone ingrowth models, to predict
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, natural language processing (NLP) and machine learning Connected and autonomous vehicles Disaster and natural Hazard assessment and management Discrete element method (DEM) and finite element methods (FEM
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, preferably involving fluid mechanics and/or microstructure related simulations. Experience with numerical simulations based on the finite element method (FEM) or the finite volume method (FVM). Experience with
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approaches, where nonlinear FEM, rule-based design, parametric design etc and general model-based systems engineering approaches are a plus. Experience applying artificial intelligence and machine learning
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experience related to the position Experience leading end-to-end development of microfluidic or micro-manufactured devices: design (CAD/CAM), analysis (FEM), fabrication, and assembly/sealing of small-scale
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using both classical and finite element methods (FEM). Review detailed part or assembly definition prior to production release. Examine structural or material discrepancies and create associated
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in a wave tank under regular and irregular waves. Develop and document high-fidelity numerical models (e.g., coupled hydrodynamic–structural models and/or FEM workflows). Develop and validate