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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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enzymes. What you will do (Research Objectives): Use structural modeling and simulations (QM/MM, MD) to identify features controlling kinase activation and substrate selectivity in exemplar systems (EGFR
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adaptation and learning from their experiences. Using a combination of theory, numerical experiments and precision desktop experiments, we will create 3D materials with self-adapting elastic elements
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the EPSRC Industrial Doctoral Landscape Award project in collaboration with industrial partner Tata Steel UK. The project aims to advance fundamental knowledge on the impact of residual elements
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resorbing naturally after bone repair. Yet, most current Mg alloys contain rare earth elements (REEs) to improve mechanical stability and corrosion resistance, raising concerns about biocompatibility
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. The researcher will conduct the health economic component of this evaluation. More specifically, he/she will study the economic impact of mental health problems in Belgium (healthcare consumption, productivity
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expected to uncover the vital mechanism of selective IDP-mediated transport and thus answer one of the central questions in molecular cell biology. We collaborate with experts in cell biology and MD
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measurements, including monitoring of local pH and dissolved hydrogen and oxygen concentrations at metal-electrolyte interface; gain understanding of the factors influencing the initiation and propagation
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requirements We are looking for candidates who meet the following requirements: Master’s degree or similar degree in Law (or in fields that include legal elements relevant to this position). We welcome
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performative columns, and cladding systems, while also drawing from historical and vernacular knowledge? Then join us in advancing digital fabrication for a post-carbon built environment! Information This fully