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on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent
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AMPs demonstrating high efficacy against several pathogenic microorganisms, a gap remains in demonstrating their potency against wound pathogens, especially antibiotic-resistant strains. This project
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Business directorate that works closely with our academics providing specialist support for external engagement and development Our Exeter Academic initiative supporting high performing academics to achieve
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automation of organic and inorganic self-assembling systems . The successful candidate will have a PhD in either inorganic or materials chemistry with some experience of Programming, computer science and
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diffraction and computed tomography experiments, including Rietveld refinement. A track record of high-quality research outputs and a demonstrable commitment to research excellence. Experience in
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, communication disorders and clinical applications, translation and interpretation, bilingual business communication, language education, and language technology with computational innovations. Central to its
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spectroscopic data analysis. This role forms part of a larger research effort exploring advanced polymer processing techniques and data driven methods to improve material performance and manufacturing efficiency
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individual who has completed undergraduate training in computer science, mathematics, or physics. Demonstrable experience in successful delivery of computational research projects and a high level of
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Reza Godini and Prof. Riikka Puurunen , will contribute to a high-impact collaborative research environment. This position is part of the Aalto Hydrogen Innovation Centre Doctoral School (https
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experimental setup. iii. Conduct lab and site tests to evaluate the performance of NQR prototype. iv. Generate design documents and test documents at every stage of development until the final prototype