3 condition-monitoring-machine-learning Postgraduate positions at University of Leicester
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enthusiasm for the topic will be expected, along with the ability and willingness to both learn and synthesise evidence and work with colleagues from various subject areas. Experience in longitudinal data
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Bruker NMR spectrometers with cryoprobes, a Rigaku X-ray diffraction system, multiple robotic systems for preparing crystal screens, excellent computer facilities and a range of AKTA FPLC protein
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of 24-hour physical behaviours and long-term conditions (e.g. type 2 diabetes, obesity). This will involve working closely within our physical activity and clinical digital tools (including our
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