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imaging brain function that uses the new technology of Optically Pumped Magnetometers (OPMs). You will primarily help develop and apply new machine learning methods for analysing data from the OPM-MEG
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be near completion) or MSc degree in applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical/environmental epidemiology, or a similar
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collaboration with the Pandemic Sciences Institute. The successful applicant will be part of a strong and established team carrying out research of the highest methodological quality with the aim of improving
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research experience in biological or medical sciences. You will have experience of antibody/B cell immunology, clinical research immunology, experimental medicine, and/or vaccine research. You will also have
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We are seeking an enthusiastic Postdoctoral Research Assistant in Medical Statistics, with an interest in Artificial Intelligence (AI), to join the Computational Health Informatics (CHI) Laboratory
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Applications are invited for an Associate Professorship of Emergency Medicine. This position will be held within the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
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. You will hold a relevant BA or MSc degree in Mathematics, Engineering, or a related field. Knowledge of medical statistics and experience analysing large datasets, experience in biostatistics and/or
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addressing training needs where appropriate. About you The successful candidate will be educated to A level or equivalent in English, Maths and a Science related subject. You will have previous experience in
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Medical Sciences Divisions of the University, funders, industrial collaborators and government. You will play a critical part in ensuring financial discipline in the submission of applications and
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We have an exciting opportunity for a Research Assistant in Epidemiology and Health Data Sciences to join the Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra