281 computer-security "https:" "https:" "https:" "UCL" positions at University of Nottingham
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antagonists for scientific investigation of the P2Y2 R (Conroy et al., 2018 (https://doi.org/10.1021/acs.jmedchem.8b00139 ); Knight et al., 2024 (https://doi.org/10.1021/acsmedchemlett.4c00211) ). The role
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Department: Faculty of Science AI Doctoral Training Centre Programme length: 42 months Closing date: 19 April 2026 The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. Computer Science is seeking a skilled and motivated individual to join our Research Systems Team to support
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We are looking for a highly motivated researcher, whose expertise lies in statistics and computational methods, to work with Professors Theodore Kypraios and Philip O’Neill on an NIHR-funded project
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
revealed distinct gene expression profiles of the infiltrative margin of glioblastoma via bulk transcriptomics https://pubmed.ncbi.nlm.nih.gov/37434262/ predicated on biopsies obtained via 5-aminolevulinic
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student learning experiences. Candidates must have a PhD degree in product design, industrial design, interaction design, computational design, service design, ergonomics, human factors engineering or a
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tackling foraging tasks, to work out which algorithm best explains how foragers decide to leave. You will have some experience in computational modelling of behaviour, such as decision-making models
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drive and have a valid driving license that would be ideal but is not essential. We use computers and mobile tech daily, so knowing the IT basics will be required, but full training on our systems is
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at https://www.advance-he.ac.uk/equality-charters/athena-swan-charter and on our website https://www.nottingham.ac.uk/chemistry/about/athena-swan.aspx If you are interested on this opportunity, please click
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics