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written reports, and contribution to academic publications. The post offers an opportunity to apply computer vision and remote sensing methods to pressing environmental issues and to work within an
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. The overarching aim of the project is to use machine learning methods to understand why many people who are referred for treatment will drop out prematurely. To do this, two studies are planned. One will use a
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or desirable Stage(s) assessed at Bachelor’s or master’s degree in human-computer interaction, education, public policy, or other related discipline (or equivalent relevant experience) Essential Application
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that the outcomes of the programme curricula and the requirements of the professional bodies are met. This includes producing appropriate evidence-based lesson plans and delivering teaching sessions as required as
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Research. You'll be at the heart of developing a major research programme proposal, working to co-design this with practitioner partners and a public involvement group. The role will involve leading a
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safe adaptations to overheating in children’s hospitals". This 8-month Development Award project (NIHR504238) is Phase 1 of a proposed two-phase research programme. It is funded by the NIHR Policy
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to contribute to and co-lead complementary mixed methods research outputs: conference abstracts, presentations and publications associated with the programme. Contribute to dissemination of findings in tailored
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criteria Method of assessment 1 MSc containing substantial statistical content, as well as medical applications. Application 2 Minimum of 3 years work experience, and awareness of the principles of good
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strong performance at MSc) (assessed at: application/interview) Knowledge of Psychological Research Techniques Training in quantitative research methods Ability to communicate sometimes complex information
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, analysis and reconstruction will be established. Developed methods can be tested against a diverse cohort of infants and/or paediatric and/or adult patients with lung disease, as part of ongoing clinical