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experience in addition to excellent organisation and communication skills, a flexible and adaptable approach to work, and above all a commitment to delivering an outstanding service for all programme
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The Department of Computer Science and Technology is a growing academic department within the University of Cambridge that encompasses Computer Science, along with many aspects of technology
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required. The successful applicant will have GCSE's in English and Mathematics, NVQ Level 2 or equivalent level of practical experience, and will be computer literate. You must be able to communicate
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on shift A 6% employer contributory pension scheme Free car parking (if available) Life assurance x3 salary A health cash back scheme Cycle to work scheme Wellbeing programme including free yoga and bootcamp
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About the division/school: The Mastercard Foundation Climate Resilience and Sustainability Collaborative Program responds to the climate crisis in Africa by advancing relevant scholarship, curricula
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holidays) Free meals on shift A 6% employer contributory pension scheme Free car parking (if available) Life assurance x3 salary A health cash back scheme Cycle to work scheme Wellbeing programme including
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involvement in cutting-edge programme design, you'll be perfectly placed to thrive in a role that blends teaching excellence with the freedom to innovate and influence the future of education! The Role As an
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2026. The Nevile Fellowship Endowed through the generosity of Trinity College, Cambridge, will be in one of the following subject areas: Pure Mathematics, Applied Mathematics, Computer
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transcriptomics and histone mark profiling as well as by live imaging approaches. As part of this project, you will have the opportunity to gain computational data analysis skills. This studentship comes with
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Supervisors: Professor Sir Steve Jackson and Dr Mark O'Connor (AZ Partner) Course start date: 1st October 2026 Project details Targeted Alpha Therapy (TAT) selectively delivers high Linear Energy Transfer (LET) alpha-particles to cancer cells, maximising efficacy while minimising toxicity. ...