113 phd-in-architecture-interior-design-built-environment PhD research jobs in United Kingdom
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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, epigenomics and transcriptomics from these models alongside extensive human tumour collections. You will be PhD-qualified, or have submitted your PhD thesis for examination at the point of commencing this post
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experimental psychology and cognitive science to augment human intelligence with AI. Your experience and ambitions eligible for PhD study at Aalto University (https://into.aalto.fi/display/endoctoralsci/How
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-product functionalities are stably attached to polysaccharides under conditions of product storage and use but become labile under post-use conditions in the environment. This could conceivably be achieved
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(including 38 days off a year) Regular internal seminars, colloquia and PhD/postdoc networks across the department and college, specifically designed to support early career researchers. Personalised career
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administrative activities, with guidance as required, ensuring that project aims and objectives are met. Working closely with the supervisory team, develop and plan research objectives. Present information
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. The ideal candidate will have hands-on experience in encoded library design/ screening or other selection techniques. A strong background in molecular biology, protein and peptide chemistry, next-generation
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), accessibility and inclusive design, feminism and intersectionality, trans and gender diversity studies, and misinformation, will be considered. The ideal candidate will have or soon be awarded a PhD from any
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Framework level 12 (PhD) plus track record of emerging independence within a research/professional environment, or alternatively possess professional qualifications and experience equivalent to PhD level plus
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, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs