682 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United Kingdom
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Field
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical
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backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate closely with experimental scientists and contribute
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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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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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staff in a variety of roles, all united by our vision of a future where people and planet thrive. We need everyone to have the passion and drive to help us with our mission to create advocates for our
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experience in machine learning and image analysis for ultrasound images and video. The successful applicant will possess specialist experience conducting fieldwork, particularly in low-resource or rural
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groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will be working in the research group of one of the PIs
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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principles that govern the motility, self-organisation and development of living systems. The post-holder will have the opportunity to teach. Applicants should hold (or be close to completing) a PhD in
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. This is part of your personality: Completed doctoral/PhD studies in the field of chemistry, pharmacy and similar fields Excellent knowledge in computer-aided drug design and medicinal chemistry Publications