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have partnered with AWE to fund a 4-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in oxide scintillators. We will
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We are seeking to appoint an Academic Programme Officer- MSc Health Service Improvement and Evaluation on a Maternity cover. You will be working closely with Academic Programmes Manager in a growing
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: Northeastern University London (NU London) Project start date: October 2026 Supervisors (*lead): Osvaldo Simeone (Northeastern University London) Huiling Zhu (University of Kent) Aligned programme of study: PhD
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that inform our actions and decisions across all levels of the University and deploy relevant and contemporary We are now looking for an experienced and motivated Senior Software Developer to join our IT
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University London (NU London) Project start date: October 2026 Supervisors (*lead): Osvaldo Simeone (Northeastern University London) Carlos Perez Delgado (University of Kent) Aligned programme of study: PhD in
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Project Title: Will vary dependent on successful applicant Applications are invited for a full time PhD (via MPhil) studentship in Astrophysics in the Jeremiah Horrocks Institute. The studentship is tenable for 3.5 years full-time (subject to satisfactory progress) and will cover the cost of...
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About us: This Computational Biologist post forms part of the CRUK City of London Centre and is based within the School of Cancer & Pharmaceutical Sciences at King’s College London. The successful
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Salary: Full time starting salary is normally in the range £36,636 to £46,049 with potential progression once in post to £48,822 Role Summary Advanced Research Computing (ARC) at the University
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of Kent) Aligned programme of study: PhD in Computer Science Northeastern University London As part of a major investment, Northeastern University London (NU London) has multiple, fully-funded PhD
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy