57 computer-programmer-"https:"-"Brookhaven-Lab"-"https:"-"https:"-"https:"-"Dr" positions at University of Leicester
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programme of world-leading research in Materials Engineering, contributing to and connecting research activity across the School of Engineering’s major research groups, including Aerospace, Green Energy and
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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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for students across a range of healthcare disciplines. Working closely with Programme Coordinators and Placement Leads, you will contribute to the smooth delivery of placement processes, maintaining accurate
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adaptive platform designs. This will include contracting and programme management, delivery of work to time and target, dissemination of findings to academic and public audiences, and reporting to funders
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for deployment on edge‑computing platforms. You will also develop demonstrators to evidence the research outcomes, work independently on project milestones and contribute to publications, reports and conference
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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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forward research at the interface of mathematics, statistics and computer science, developing new methodologies for interpreting complex data and strengthening the theoretical foundations of modern AI and
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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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experience of code development and the application of AI or machine learning techniques. You will bring strong expertise in computer programming and the use of computational models to understand and predict