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project is a consortium of UK and African partners funded by the Gates Foundation, which aims to make a breakthrough in the application of machine-learning forecasting methods for West African agriculture
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Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing
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methods. About You PhD in any discipline, completed within the last 3 years, or equivalent industry experience Research experience in a relevant area Commitment to contribute to an equitable research impact
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intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate
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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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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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experience: Essential criteria PhD in psychology, neuroscience, or related discipline. Research experience at the Postdoctoral level. Experience conducting clinical trials, particularly research in NHS
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data. Apply knowledge in a way which develops new intellectual understanding. Contribute to developing new models, techniques and methods as required by their research project. Present research outputs
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produce preliminary experimental data in the field ofrheumatology and musculoskeletal (MSK) medicine which in turn may allow the fellow to develop a competitive PhD fellowship application. Although research
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to $116,094 (PhD Enty Level - $108,156) p.a. plus 17% super Level B - $122,212 to $145,121 p.a. plus 17% super Contribute to international agricultural research Develop sustainable nitrogen management