192 data-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Nottingham
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identify barriers to early diagnosis. To do this we will use a large United Kingdom general practice dataset, which is linked to cancer records. This contains information on almost 4000 people who have never
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Tableau to present data that supports the Annual Programme Reviews (APR) and the Periodic Programme Reviews (PPRs). Co-ordinating the Internal Quality Reviews and working with the Institute for Professional
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temperature interaction is not fully understood. This information is important as it can be used to inform new product formulations. Therefore, the aim of this Master of Research is to gain a fundamental
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mechanics. Skills you’ll gain Under the supervision of Charlie Heron and myself you will gain: Expert knowledge of centrifuge modelling challenges and solutions. Advanced programming/data analysis skills. How
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of experimental modelling challenges and solutions. Advanced programming/data analysis and simulation skills. How to effectively communicate complex and novel research. Opportunities to develop lab demonstration
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their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational analysis. You will be expected
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working from home. This is a Part-time, Fixed term contract till 1st June 2026 - Monday to Friday - hours 8:45 a.m. to 5:00 p.m. Your working hours will be (21.75 hours per week). Further information is
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. Unfortunately, we cannot accept applications from current registered students within the School of English because of the potential access to sensitive and confidential information. If you have any informal
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attention to detail when making appointments, registering patients, inputting data, managing stock, assisting with reports and financial administration required for the smooth running of the clinic. Previous
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will work alongside a team of professionals to provide a point of contact, information and support for: disabled students, students with Autistic Spectrum Conditions, mental health difficulties and