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Field
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We are seeking a well organised and self-motivated researcher to work on the Faraday Institution funded SOLBAT and/or LiSTAR projects, reporting to Prof. Mauro Pasta. Applicants must hold PhD/DPhil
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uncover how epithelial cells organise in space and time under different physico-chemical environments to drive self-organisation processes, like condensates, that shape mesoscale structures enabling tissue
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research environment supported by a team with broad expertise in data science, infectious diseases, hepatology, and clinical informatics. You will take a leading role in analysing large-scale, longitudinal
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for candidates who wish to broaden their career development. Your skills and attributes for success PhD in Mathematics (or near completion) Strong background in probability theory Ability to conduct independent
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implications for understanding cardiovascular disease risk, thrombosis, and systemic inflammation. Candidate Requirements: You should have completed (or be close to completing) a PhD in Cell Biology, Haematology
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2029. About you Essential criteria PhD in developmental cognitive computational science, neuroscience, computer science, or related disciplines*. Previous experience in social cognitive research
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the supervision of Master and Bachelor students. You take part in the organization of meetings and conferences. This is part of your personality: Completed Master in Mathematics. Completed PhD in an area related
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supportive environment of the Centre for Craniofacial Regeneration and Biology at King’s College London, based at the Guy’s Hospital campus. About the role This position in the Green lab is to complete a BBSRC
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profile: Completed doctoral/PhD studies in the field of Cultural and Intellectual History of Premodern South Asia (Indology) or a related discipline An excellent command of Sanskrit is essential
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. Our empirical research focuses on corporate headquarters and museums. One of our current case studies is the upcoming Museum of Architecture and Design in Helsinki, which aims to “redesign the world