17 phd-position-wireless-sensor-networks Fellowship positions at University of London
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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independently and in close collaboration with in-country partners. The applicant should have an excellent academic track record that includes formal training in microbiology as well as a relevant PhD (public
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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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surveys, overseeing their implementation, training researchers, analysing data and playing a lead role in producing peer-reviewed papers (key author positions). This will involve analysing and publishing
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of neglected tropical diseases, experience of project management and an understanding of laboratory set ups. Further particulars are included in the job description. The post is fixed term until 31 August 2028
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addressed to jobs@lshtm.ac.uk . Please quote reference EPH-DPH-2025-08-R. Informal queries about the position can be directed to Chido Dziva Chikwari, SRHPP Programme Director (chido.dzivachikwari@lshtm.ac.uk
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fellow position is available to join an interdisciplinary team evaluating the health and well-being benefits of clean energy access in The Gambia, West Africa. The post-holder will work in close