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techniques and motion correction, or developing novel approaches to signal generation and localisation. You will report to Dr William Clarke and the post holder will be a member of the WIN/FMRIB Physics Group
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efficiency and environmental sustainability. Your scientific research will focus on the development of machine/deep learning-based medical image analysis methods for computerised tomography scans (CT scans
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technologies to silence the faulty genes responsible for these conditions. The team includes world-leading scientists from Oxford, Harvard, and other highly prestigious institutions. Application Process You will
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, Physics, Computer Science, Data Science, Biostatistics, Neuroscience, or Medicine. A strong academic track record and programming skills are essential. Experience with machine learning, data science
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, Physics, Computer Science, Data Science, Biostatistics, Neuroscience, or Medicine. A strong academic track record and programming skills are essential. Experience with machine learning, data science
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transition: predicting and preventing negative outcomes (ART-transition) study, and the EU-funded project, ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART-CARMA
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Queenie Chan on [email protected] or +44 (0)1784 443896. For queries on the application process the Human Resources Department can be contacted by email at: [email protected] Please quote
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cardiometabolic risk factors and medication adherence (ART-CARMA). The ART-transition study will involve remotely monitoring 250 young people with ADHD over a two-year continuous assessment period, using both
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transition: predicting and preventing negative outcomes (ART-transition) study, and the EU-funded project, ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART-CARMA