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are also open to discussing flexible working arrangements. Are you an ambitious and talented statistician with expertise in individual participant data meta-analysis (IPDMA) of clinical trials and
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of Earth and Environment (SEE), and working closely with its School of Civil Engineering, you will use various seismic datasets – including data already recorded with fibre-optic distributed sensing systems
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impacts, or inequalities in their distribution. The new Hub will identify barriers, incentives and accelerants to implementing healthy low-carbon transport schemes and propose and evaluate new solutions
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the ESRC Smart Data Research UK programme (https://www.sdruk.ukri.org/ ). HASP enables high quality, novel and robust research utilising Smart Data. In collaboration with data and delivery partners, it
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Universities? You will join a collaborative programme with Merck Electronics KGa, a world-leading company working in liquid crystals. You will work with a team of scientists from the company along with Dr
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interviews. Joining a well-supported interdisciplinary team of ten Centre researchers working on an exciting programme of high-profile research related to policing vulnerabilities, you will play a crucial role
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Do you want to make a difference in patients’ quality of life by creating innovative robots that are able to treat incurable diseases? Are you excited about contributing to scientific research in surgical robotics? Are you able to think outside the box to find innovative solutions to...
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Grade 7 (£41,064 – £48,822 p.a. depending on experience) This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you an experienced and ambitious researcher looking for your next...
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curriculum change project (Curriculum Redefined) that spans all undergraduate programmes. Stakeholders include students, module and programme leads, and student education leaders across the institution
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can support both health and mobility outcomes. The successful candidate would be responsible for the more technical parts of this project, leading the computational modelling of charging infrastructure