66 computational-physics-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Leicester
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clear guidance, resolving issues independently and supporting colleagues to improve their own data practices. A proactive, solutions‑focused approach will help you identify opportunities for process
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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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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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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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calendaring (based on MS Exchange), networked printers, provision of equipment in teaching rooms, lecture theatres and open access computer areas, a Virtual Learning Environment, web, print and moving image
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an excellent opportunity to support the temporary staff recruitment process across the University. Working on a hybrid basis, you will play a vital role in ensuring the smooth running of recruitment activities
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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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with both qualitative and quantitative metrics and approaches, including usability testing. About the I-REACCH programme I-REACCH is a range of complementary pilot projects, focused on under-represented
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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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have demonstrable experience in the statistical and computational methods underpinning statistical genetics research. You will bring strong quantitative and programming skills, experience working with