94 postdoctoral-image-processing-in-computer-science positions at University of Leicester
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About the role Please detail any unique selling points of the role that will make it attractive to job seekers. If there is no advert, recruitment will draft an advert. About you Please detail any unique selling points of the role that will make it attractive to job seekers. If there is no...
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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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UKSA), managing and tracking a portfolio of new and existing grants, following a procedure with our commercial contracts and post-award finance teams. This includes processing of invoices from Grant
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About the role We are excited to be looking for a Programme Administrator to join the ever growing School of Healthcare. This is an exciting opportunity to join a busy professional service team and
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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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About the role Our School of Computing and Mathematical Sciences are seeking an Associate Professor in High-Performance Computing, who will join the eponymous group led by Prof. Ashiq Anjum
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or solar-planetary science, with demonstrable expertise in imaging or spectroscopy of auroral emissions. Strong programming skills (e.g., Python or C++) and experience with space-based data analysis
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. We will soon be receiving the first data back from Mercury via the UK’s only PI instrument: the Mercury Imaging X-ray Spectrometer (MIXS) (Emma Bunce PI). This post is the first of four positions
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research programme focused on the isolation, purification, and characterisation of novel phage proteins, working closely with the Senior Postdoctoral Research Fellow and a collaborative academic team. Your
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or equivalent. You bring a strong interest in cardiovascular science and a commitment to research excellence. Previous cardiology experience (ST3 level or above), imaging expertise, or a current NTN in Cardiology