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Field
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Sustainable composite STructures for supporting the decision-making and resilience of the society Of the future”. This project develops transdisciplinary models that integrate traditional finite-element physico
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. Key responsibilities will include but are not limited to: Design and execute thermomechanical characterization of polymeric/composite systems Develop techniques to fabricate model fiber/composite
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activities: · Understanding/simulating the diffusion paths and cavitation in thermoplastic liners. · Multi-physics simulation of the diffusion process in thermoplastic orthotropic composites
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as possible thereafter. The Role Drawing on over a decade of formulation data, you will develop machine learning models that link chemical composition and processing parameters to the physical and
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Do you have a strong technical background in Machine Learning and Numerical Modelling? Are you interested in working with industry to develop Machine Learning methodologies and protocols needed
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funded by the National Institutes of Health (NIH) to better understand and reduce the process of tumor metastasis, to elucidate immune responses to ionizing radiation and immunotherapy, and to improve
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metal matrix composite (MMC) coatings. You will help fill critical knowledge gaps in process monitoring, optimisation, and control for laser cladding, contributing directly to the development of a cost
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effect and its great versatility. Indeed, it allows for the designing of a wide variety of materials, and numerous efforts are currently being made to industrialize this process. The objective
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evaluating carbonation and chlorides being valued; d) knowledge in statistical data analysis, with experience using mixed linear models being valued; e) knowledge in data processing and presentation using
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. The candidate will contribute to the mechanical design, composite fabrication, and experimental validation of UAV structures, integrating morphing wings and additive manufacturing processes for high-performance