14 assistant-professor-computer-science-data "https:" "https:" "https:" "UCL" positions in United Kingdom
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focuses on the development and application of computational tools for large genomic datasets to address important questions in biology ranging from the genetic determinants of human disease, the origin and
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About us We seek a full-time faculty member, at Lecturer or Associate Professor level depending on experience, to join UCL Computer Science’s Principles of Programming, Logic, and Verification (PPLV
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developed a wide range of clinical applications, including computer-assisted navigation, diagnosis and intervention, as well as tools that support minimally invasive surgery. Our work includes unique AI
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Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. We will consider applications to work on a
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for certain posts • On-Site nursery • On-site gym • Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance Visit https
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within the School, the University and across the Nextrode consortium. There may also be opportunities to include experimental work, microstructural assessment, data science or other relevant areas. Main
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/design, outcome measures, and infrastructure for recruitment and engagement. You will work closely with OCTOPUS Principal Investigator Professor Chataway and the UCL MRC Clinical Trials Unit in the day-to
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., Dunson, D.B., Vehtari, A., & Rubin, D.B. (2013). Bayesian Data Analysis (3rd ed.). Chapman and Hall/CRC. https://doi.org/10.1201/b16018 Does thalamic control of entorhinal cortex contribute to circuit
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maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. We will
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projects Evaluating the reach and impact of the Childsmile programme: Scotland’s national child oral health improvement programme Supervisors: Professor Andrea Sherriff , Dr Marie Kotzur , Professor David