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of the Port of Dover. The University of Manchester and Dover Harbour Board are looking to recruit a KTP Associate to undertake this 33-month project which has an overall aim of developing a physics-based and AI
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collaborative project with University of Manchester and NHS to understand the evolution of head and neck tumours (HNC) during radiotherapy treatments, using our innovative and long-term 3D primary culture (human
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satellites. The project is a collaborative effort involving teams at the University of Manchester and University of Southampton and partners at the Alan Turing Institute and HMGCC. The research will seek
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Dame Kathleen Ollerenshaw (DKO) Fellowship (University of Manchester at Harwell) (2 Posts Available)
education. In addition, we are a Disability Confident Employer, guaranteeing an interview for any disabled applicant who meets the minimum requirements for a job. The University of Manchester The University
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. Jonathan Dunn (University of Illinois Urbana-Champaign), and Dr. Andrea Nini (University of Manchester). The project looks at the written production of English users across five dialect areas, both with and
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supervisor: Dr.Alexey Berdyugin received his bachelor’s and master’s degrees in condensed matter physics from Moscow Phystech (MIPT). After completing a PhD and a short post-doc. at the University
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at the University of Cambridge. Collaborating (amongst others) with Prof. John Wheeler from the University of Liverpool and Dr Simon Hunt from the University of Manchester, the post-holder will delve into imaging
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of researchers from LSHTM, University of Oxford, University of Manchester, UK Health Security Agency and the University of Nottingham. The team is jointly led by Professor Nicholas Mays and Dr Rebecca Glover
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experienced, multi-disciplinary team of researchers from LSHTM, University of Oxford, University of Manchester, UK Health Security Agency and the University of Nottingham. The team is jointly led by Professor
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strategy to minimise non-biological variability in the measures and iii) implement it at the acquisition and/or image processing level. The project is in close collaboration with the University of Manchester