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. Further funding to support the post may be available. About you Applicants should have a PhD (awarded or imminent) in Electronic/Electrical Engineering, Biomedical Engineering or a closely related
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to research at the forefront of optical neuroimaging and clinical translation. Key Requirements Candidates must hold a PhD in Physics, Biomedical Engineering, Medical Physics, Optical Engineering, Photonics
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of stem cell-based therapies for Hirschsprung disease. About you You will hold a PhD degree in experimental biology, anatomy, physiology, neuroscience, or a relevant subject area and have evidence of first
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of different chemical and biological wearable/implantable/point-of-care sensors using these materials for the high precision detection of biomarkers and physiological parameters, such as proteins, DNA, antigen
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physiologically relevant environments and disseminate results to both the quantum sensing and relevant clinical communities. About you The ideal candidate will hold a PhD in a relevant area of experimental physics
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appointments possible from January 2027. About you The successful candidate will need to evidence the following in their application. They must hold a PhD, or be close to completing a PhD, in Operations Research
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of Political Science including academic, teaching, and research staff, professional services, and MPhil/PhD students (for an overview of our research, see https://www.ucl.ac.uk/drupal/site_political-science
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Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B (salary £ 39,807 - £ 42,891 per annum inc. London weighting) with payment at Grade 7
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, post duration is until 28.02.2029. About you The ideal candidate will be a motivated and collaborative researcher who is either completing or has recently obtained a PhD in Chemistry, Physics, Materials
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Applicants must have a PhD in Epidemiology, Health Informatics or Applied Data Science, and an a high level of relevant postdoctoral research experience in applied health research, good experience of data