10 postdoctoral-image-processing-in-computer-science PhD positions at Manchester Metropolitan University; in United Kingdom
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contexts remain unclear. This project will combine human trials, advanced brain imaging, and cognitive assessments to identify evidence-based approaches that could, over time, transform clinical practice
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supervision from an experienced team spanning Manchester Met and Chester Zoo. You will benefit from a skills training programme through our Doctoral College, and will be based in the Faculty of Science and
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implemented this type of skeletal tracking system into their Video Assistant Referee (VAR) process by adopting Semi-Automated Offside Detection (SAOD) technology. Whilst this is a very specific application to
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to develop novel rehabilitation techniques. This project will integrate state-of the-art technology and use a biopsychosocial lens to explore this opportunity. We will investigate how we can use detailed
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python
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Decision support systems assist decision makers in instances when information available for decision making is vast and beyond human information processing capabilities. The Video Assistant Referee
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. To apply, you will need to complete the online application form for a full time PhD in Sports & Exercise Science Please complete the Doctoral Project Applicant Form , and include your CV and a covering
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. Specific requirements of the candidate The successful applicant is expected to have: An honours degree at first or upper second-class level in Cyber Security, Artificial Intelligence, Computer Science
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expected to have a first or upper second class level degree (or equivalent) in a relevant subject (e.g. sports science, kinesiology, biomechanics, engineering, physiology, human biology, psychology, zoology
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of the candidate Essential: First or upper second class BSc honours degree in a relevant degree such as sport and exercise science, human physiology, data science Experience of working with patients with long-term