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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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to the research project itself. The remaining six months will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme
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fellows and other researchers. Strong interpersonal and written and verbal communication skills and ability to effectively train users and staff on proper procedures and methods for using advanced
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will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme comprises a training component corresponding to 30
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clinical trial portfolio for a research programme in antimicrobial resistance and work to support colleagues in data-enabled trials. You will also undertake statistical methods research associated with
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using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant discipline and have expertise in quantitative research methods
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architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models
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organisations, in partnership with the National Centre for Research Methods (NCRM) and the Office for National Statistics (ONS). Its objective is to deliver a step-change in survey research to ensure that it will
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nine universities and three survey organisations, in partnership with the National Centre for Research Methods (NCRM) and the Office for National Statistics (ONS). Its objective is to deliver a step
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to publications involving several authors); originality and innovative potential of your proposed research (significance for the further development of the subject area, convincing selection of scientific methods