19 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" "UCL" "UCL" "UCL" positions at UCL
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About the Project A fully funded PhD scholarship is available at UCL Electronic & Electrical Engineering (4 years, home tuition fees covered, stipend provided). Exceptional international candidates
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About us The UCL Institute of Archaeology is recognised as one of the leading academic departments of Archaeology and Heritage in the world. It is the largest department within its field in the UK
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Type: PhD Location: UCL Queen Square Institute of Neurology, London WC1N 3BG Funding amount: Fully funded with a stipend and tuition fees paid to UK level Duration. Full-time: 3-year UCL studentship
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on Project 1 will become a member of the UCL Doctoral Training Centre (CDT) for Data Intensive Science, which administers the PhD studentship. If you apply to Project 1 please submit, in addition to the above
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Develop an active learning-driven platform for compound selection and optimisation Integrate robotic sample preparation, automated data acquisition, and computational analysis Advance five existing
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culture and in vitro models of mucosal immunity Data analysis using Python and digital image processing These skills are highly transferable to careers in biomedical research, pharmaceutical development
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Supervisors: Prof Manish Tiwari Prof Shervanthi Homer-Vanniasinkam Clinical Partner: The Royal National Orthopaedic Hospital (RNOH) Collaborator: Dr. Priya Mandal – UCL Mechanical Engineering
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Scientific communication and translational research Opportunities include presenting at international conferences, publishing in high-impact journals, and collaborating across UCL and with external partners
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the synergistic effects of monoclonal antibodies and colistin. Building on extensive preliminary data, the project aims to uncover the mechanisms behind this synergy using advanced biophysical and molecular
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-scale metagenomic assembly and genome recovery • Comparative genomics and molecular evolution • Machine-learning-based protein prediction • Data integration, bioinformatics and phylogenetics • Scientific