585 postdoc-in-thermal-network-of-the-physical-building PhD positions in United Kingdom
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and use innovative approaches to identify and characterise the chemical and physical interactions between cells that result in inhibition of detrimental fungi. This bioprospecting project will utilise
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this, the impact of the heterogeneity in the structure of the individuals contact network on disease transmission will be investigated. The candidate will gain experience in a range of mathematical and computational
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. Int. Ed. 2023, e202310274; Polym. Chem., 2023, 14, 1554. 2. Intrinsically recyclable polymer materials, including covalent adaptable networks We rethink how to make robust covalently crosslinked polymer
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team, the PhD student will support the development of discrete choice experiments in two countries, and agent-based modelling, as we plan to model how doctors make job choices among alternative hospitals
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services would be to keep children close to their usual home (where safe to do so) and maintain their family and community networks often this is not possible and high cost out of area placements
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well as cutting-edge research insight. Description Electrification is the key to achieving a sustainable future in transportation. To meet the UK’s Net Zero 2050 goals, electric motors must undergo a
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backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological potential. Our
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will contribute to the field by: Developing a conversational AI interviewer capable of conducting real-time adaptive interviews. Building an automated candidate ranking model based on interview
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deployments. Candidate Requirements Applicants should have (or expect to receive) a UK 1st class, 2:1 or equivalent in electronic engineering, physics, or a closely related discipline. Experience with
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world