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-oriented Education Support Administrator (Finance and Payments) with excellent communication and organisational skills to help us process payments relating to the delivery of the BMBS (Medical) Programme in
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machine learning models to improve the process of creating transportation models. Responsibilities: Development of optimisation and machine learning models to improve the process of creating transportation
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and significantly better outputs and outcomes from relationships with partners drawing on the University’s education, research and physical assets. We are seeking a highly skilled IPDM Knowledge
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this appointment process it is the University’s clearly stated aim to develop candidate pools that include applicants from all backgrounds and communities. The University particularly welcomes applications from
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providing excellent customer service to both young school leavers and senior employer partners. The role will have primary responsibility for the operational delivery of the recruitment process in support of
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of BM growth during the development of the fruit fly Drosophila. This position offers a unique opportunity to work at the interface of biology and physics, mastering a wide set of cutting-edge techniques
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awareness of different forms of neurodiversity, and discuss what schools can do to better support neurodivergent young people. Under the Umbrella will take the form of a physical activity with several
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biophysics. You should also have a good understanding of soft matter or biological physics (broadly defined). Proficiency in scientific programming, especially computational image analysis, is highly desirable
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of the research process. Please ensure you read the Job Description and Person Specification for full details of this role by clicking on the attachment. What we can offer you Freedom (and the support) to pursue
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frameworks for gender (Athena SWAN and Project Juno for Physics), race equality (Race Equality Charter Mark), LGBTQ+ inclusion (Stonewall Diversity Champion) and as a Disability Confident employer. We