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mechanics Computational modelling and finite element analysis Active dissemination of the results in scientific articles and participation in national and international conferences is integral to the job
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Essential requirements Knowledge and skills in Finite Element Analysis Skills in additive manufacturing Desired requirements Knowledge and experience in optimization methods (e.g. Genetic algorithm) Knowledge
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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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talented candidate with a Master’s degree in civil engineering, mechanical engineering, or a related discipline Solid background in mechanics of materials and finite element analysis Sound knowledge
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PhD Positions in the areas of Computational Design, Construction Robotics, Regenerative Construction
demonstrate: Documented interest and foundational knowledge in at least one of the research areas Competence in Grasshopper and Rhino; knowledge of Python, C#, or finite element analysis is beneficial but not
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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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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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, plate structures, semantic data models, finite element analysis, and plugin development. The PhD position (full-time) will span 4 years of research and is funded according to standard SNSF regulations
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Matlab or Python Previous experience in Finite Element Analysis Application Procedure Informal enquiries are encouraged and should be addressed in the first instance to Professor Chris Martin (chris.martin
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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