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Field
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interdisciplinary and mixed methods approaches. You will support the University&©s goals in driving research development and enhancing research capacity locally and globally. You will have a PhD in global health or a
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or spatial transcriptomic data analysis Candidates who are nearing completion of their PhD may apply, but confirmation on awarded PhD is required within 6 months of employment. The ICR has a workforce
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
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own area that those with protected characteristics are treated equally and fairly Desirable: PhD (or near to completion) or equivalent industrial experience in relevant technology area e.g. water
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
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Applications are invited from qualitative researchers with a PhD (or close to completion) for the position of Research Associate/Fellow within the School of Health Sciences. You will be part of a
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candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Have or be about to obtain (evidence of submission or awaiting viva exam) a PhD in
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, cross-disciplinary research and innovative teaching for future heritage leaders. From studying latest management policy to applying data science, analysing materials to using future studies, we train
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. For candidates interested in research beyond the current post, there may be opportunities available to develop a programme towards a higher degree (PhD) in an associated topic. You will be working in a growing
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Specification Hold or be close to obtaining PhD in theoretical physics or related area High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques