30 machine-learning-phd "The Art Institutes" research jobs at King's College London in United Kingdom
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to problem solve and work independently Desirable criteria Familiarity with the JASMIN data analysis facility Expertise in the hazard of extreme heat Competence in statistical analysis and/or machine learning
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compliance with high standards, and to actively supervise the less experienced. An ability to interact and learn is crucial. Candidates should hold a PhD, or have successfully submitted, a PhD thesis, working
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backgrounds and experience. Candidates with a PhD and relevant research experience will be considered for Research Associate. This post will be offered on a fixed-term contract to 31 March 2027. This is a full
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skills and experience: Essential criteria BSc (2:1 or above) in Physics or other relevant field - (Grade 5) PhD awarded or near completion in radiobiology, computational modelling, medical physics or other
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as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas
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research and teaching department. We offer both undergraduate and postgraduate teaching, with a distinctive approach, combining both traditional teaching methods with modern, project-based learning, catering
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linked to brain research as opportunities arise. Applicants should have a relevant PhD field and preferably post-doctorate experience in one of the following fields: pharmacy, drug delivery, cancer biology
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, funded by an internal MRC Impact Acceleration Award, we will use currently-collected patient imaging data to further develop computational pipelines to reconstruct personalised image-based computer models
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these projects To engage with industrial and academic partners to apply novel mathematical, statistical and machine learning and artificial intelligence techniques to relevant problems To disseminate the research
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Experience with ReDCap databasing Excellent verbal and written communication skills Skills for managing multiple tasks simultaneously Ability to teach and train junior staff and students Proven capability