51 bayesian-object-detection Postdoctoral positions at KINGS COLLEGE LONDON in United Kingdom
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(e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting
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of using Bayesian methods in both model development and fitting. Previous experience and knowledge of research methods and study design in clinical trials. Knowledge of Good Clinical Practice (GCP) in
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vision and machine learning methods for multimodal imaging and real-time analysis in colorectal cancer screening and treatment. They will contribute to the design of AI algorithms for polyp detection
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) Experience of working with multiple stakeholders in complex systems. Experience in large scale simulations Experience in Bayesian methods Experience using CRAFTY agent based model Full details of the role and
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colorectal cancer screening and treatment. They will contribute to the design of AI algorithms for polyp detection, tissue characterization, and visual guidance of robotic intervention. This is a full time
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of research objectives and proposals for own and/or collaborative research area; iv) contributing to writing up research work for publication, resulting in successful research outputs; collaborating with other
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the research area; ii) gathering, analysing and illuminating data, evaluate and criticise texts and bring new insights to research area; iii) supporting the development of research objectives and proposals
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of the PI, across the UK and either France or Ireland). The post holders will also work closely with Prof. Cloatre and the rest of the team towards the broader objectives of the project, and will be embedded
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘ How we Recruit ’ pages.