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sensors in composites. Strong mathematical background and experience with numerical methods for structural analysis. Proficiency in programming (e.g., MATLAB, Python). You have obtained your PhD degree in
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having and affinity to supporting numerical methods. In particular, we look for a candidate with A PhD in an appropriate discipline, including Aerospace, Mechanical, Civil or Electrical , Materials Science
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composite materials and structures with an interest in advanced experimental approaches for thermomechanical manufacturing processes while having and affinity to supporting numerical methods. In particular
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation