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an experienced professional with a strong background in executive education, professional development, or commercial programme delivery. You will bring strategic insight, operational rigour, and a client-focused
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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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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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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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hosting infrastructure. We are a well established small Enterprise team based in the School of Electronics and Computer Science at the University of Southampton. About You As part of the team, you will take
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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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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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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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OpenStreetMap and validated against official datasets. A composite N will be computed as a weighted average across amenity types, with weights reflecting the relative necessity of each service (for example, a
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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