47 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" uni jobs at University of Leicester
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responsibilities associated with meeting strategic ambitions outlined in our Access and Participation Plan. You will have previous experience of working in a customer facing role, and of undertaking administrative
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-disciplinary team of scientists and clinicians in the College of Life Sciences to lead and develop a programme of high-quality research directed at developing new personalised approaches to dementia treatment
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research or clinical trial processes, supported by strong organisational skills and the ability to prioritise work to meet programme deadlines. You will understand research governance and be confident
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About the role In this exciting role, you will work alongside other colleagues to provide an excellent ResLife activities programme, manage a team of inspiring staff and student staff, provide well
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have demonstrable experience in the statistical and computational methods underpinning statistical genetics research. You will bring strong quantitative and programming skills, experience working with
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communication • Confidence liaising with clinical and research site staff • Strong attention to detail and documentation integrity • Familiarity with research governance and quality systems • The ability to plan
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completion of your PhD programme) in computing, telecommunications, electronic engineering, applied mathematics or a related discipline, with strong expertise in smart technologies in one of the areas
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training and induction programme, flexible working arrangements to accommodate academic commitments, and the opportunity to contribute to key university activities. Uniform is provided, and you’ll be
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practice with leadership. This programme is part of an exciting partnership between the University of Leicester and The Apollo University, within the Apollo Hospitals Group, aimed at transforming global
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completing, a PhD in a relevant discipline and have experience working with large datasets using established statistical methods. Strong programming skills in Stata, R or Python, alongside the ability to clean