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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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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
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mixed-methods research project, "Predicting and Anticipating Care Events in MND (PACE-MND)," funded by the MND Association. This vital project focuses on improving personalised care for people living with
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or machine learning methods to tackle predictive questions. Proficiency in building and validating statistical methods and/or machine learning techniques in R or Python are also essential. Applicants
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experience in qualitative and quantitative methods as well as real-world evaluation. The work will include primary data collection (surveys, interviews, focus groups), data analysis (qualitative, quantitative
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recruitment strategies for a novel prostate cancer screening study. Prostate cancer is the second commonest cause of cancer death in men in the UK. Currently there is no NHS screening programme, with men
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development, excellent time management skills and who is able to work on their own initiative, working methodically and accurately to follow procedures and instructions. Main duties and responsibilities First
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contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
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contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine