23 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at University of Sheffield
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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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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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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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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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qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and of research methods in systems neuroscience. Applicants must have a passion for
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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