109 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at University of Leicester
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About the role In this role based within the Leicester Cancer Research Centre, you will spearhead the bioinformatics and computational biology dimensions of an innovative Cancer Research Horizons
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other administrative professionals you will have the freedom to support several NIHR Programmes to achieve their objectives. About you Having prior experience in a related position coupled with a
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About the role We are seeking a Teaching Fellow in Engineering Mathematics and Computational Methods to support in the delivery of our education programme in the School of Engineering. The School
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our high standards of student support, programme design, and pedagogical advancement, while enhancing the visibility and reputation of the School regionally and globally. About you You will have
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About the role Due to continued growth in the School, we are looking to recruit two Associate Professors in Accounting. In this teaching focussed role, you will provide inspiration and leadership to the delivery and development of the School’s undergraduate and taught postgraduate provision in...
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current and engaging within the context of a research-led institution. About you You will hold a PhD (or equivalent professional qualification and experience) in a relevant subject area and a proven track
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Trial Unit to contribute to multidisciplinary research projects, primarily funded by the NIHR Programme Grants for Applied Research (PGfAR) and the NIHR Health Technology Assessment (HTA) programme. You
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conferences, as time allows. Based at Leicester’s main campus, you will report to both the CEOI Director (based at Airbus) and the Head of the College of Science and Engineering. About you You will be well
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science, and to contribute to a research programme with real-world impact. We welcome applicants with quantitative and/or qualitative research experience. About the LLHRG The LLHRG are part of the Diabetes
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collaboration. Your expertise spans compressible aerodynamics, powder technology, computer-based optimisation, and numerical modelling—making you ideally suited to tackle complex challenges in advanced