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Field
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of experimental data - Molecular Dynamics and Finite Element calculations. . Metallic nanoparticles (NPs) exhibit unique physico-chemical properties departing from those of bulk materials, primarily due
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Mechanical, Materials, or Biomedical Engineering, or a related field. Interest in biomaterials, mechanobiology, or modelling. Familiarity with computational tools (Matlab, Python, or finite element analysis
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micro-electro-mechanical device (MEMS) dedicated to the manipulation and measurement of micro-samples, the coupled gripper-sample modelling using numerical analysis and finite element methods, and the
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Mechanical Engineering Technology Program with Engineering Design (Fusion 360), CAD/CAE (Solid Works), Engineering Computing (Matlab), Finite Element Analysis (Solid Works) skills preferred. A strong
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certification, dramatically accelerating innovation cycles. What you will gain: Expertise in Finite Element Analysis, Scientific Machine Learning, Uncertainty Quantification, and Professional Programming
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. Experience in any of the following will be beneficial: Lab-based experimental work Woodwork, carpentry or other workshop activities CAD and finite element analysis How to apply: Interested candidates should
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developed using finite element analysis (FEA) between LMGC, ICube and LEM3 Labs to model the behaviour of Wharton's jelly samples in an ex vivo and in vivo context. Predictive tools, based on previous models
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he will assess different finite element schemes for the accurate and efficient solution to the estimation problem. The candidate will also explore numerical/statistical approaches for the uncertainty
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materials. The primary focus of this work is on mechanical characterization, microstructural analysis, and finite element analysis (FEA) and artificial intelligence (AI)/machine learning (ML) modeling
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performance of AI models for fall detection. The research will combine experimental studies on different floor systems, finite element simulations of vibration propagation, and AI-based signal analysis