10 algorithm-development-"Multiple"-"Prof"-"UNIS" Postdoctoral positions at King's College London
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of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling
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to work on a new study funded by the Wellcome Trust. The aim of this project is to advance understanding of the lived experiences and support needs of minoritised ethnic people with multiple long-term
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-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent
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research excellence at King’s in the field of addiction science and supporting further development of interdisciplinary and translational research. More information about CAMHR is available here: CAMHR
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present; it then offers students pathways to study every continent through their second and third years. Our MA provision is similarly broad, developing students’ expertise in medieval, early modern and
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training and development is actively supported at King’s through the action plan for the Concordat for Research Staff. About the role This is an exciting opportunity for a postdoctoral research associate to
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development and piloting of Ecological Momentary Assessment (EMA) items tailored for young people, to better understand the cognitive, emotional, and behavioural mechanisms that place them at risk of developing
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health:- The Institute of Pharmaceutical Science at King’s College London is organised into Departments that work together towards the development of toxicological and forensic science; the discovery
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supporting staff is important to us and we offer a range of provision including flexible working, caring support (including a Parenting and Carers Fund and the Carer’s Career Development Fund), training, and a
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of liver micrometastases development in cancer, based on a novel MRI approach which combines multi-dimensional diffusion-relaxometry acquisitions, efficient data denoising and biophysical modelling