BackgroundMalawi has made tremendous progress in tackling the tuberculosis epidemic. New technologies, including digital chest X-ray and computer-aided AI detection have been pioneered in Malawi, and have increased rates of diagnosis and improved access to treatment. However, cost-effectiveness remains a challenge to wider scale-up.The AIMS-TB Africa Study, funded by the UK National Institute of Health and Care Research and led by the University of Glasgow, UK, and Kamuzu University of Health Sciences (KUHeS), Malawi, will investigate a novel approach to improve the accuracy and cost-effectiveness of computer-aided TB diagnosis by incorporating individual-level characteristics into TB prediction models. These approaches will be investigated in a randomised controlled trial and economic analysis in Blantyre, Malawi.RoleThe AIMS-TB Africa project, hosted by KUHeS, is offering one PhD Fellowship, with degree registration at the School of Health C Wellbeing, University of Glasgow. The PhD Fellowship is fixed-term for\u00a04 years, and will include PhD fees, stipend, bench fees, and travel stipend for international research meetings and training. The candidate will work within a large international scientific consortium and interact with a diverse set of professionals. The research is based in Malawi, as such the candidate is expected to spend their\u00a0full PhD time in Malawi.The successful candidate should have:Completed a Masters in epidemiology, statistics, public health or equivalent health science Masters, with a strong emphasis on quantitative methodologies, within the\u00a0past 5 years.Have experience of design and conducting health research in AfricaHave excellent scientific writing and presentation skills, evidenced by peer- reviewed publications and\/or conferenceHave excellent statistical software skills, particularly with R\/Stata softwareApplication ProcessApplicants must include:A motivational letter, outlining how key requirements above are met: 2 pages maximumA 1,500-word (excluding references) original research concept or scientific opinion piece on the role of AI-assisted diagnostic technologies in reducing the burden of TB in low resourceA detailed CV including the names and emails of three refereesApplications must be submitted via email to:\u00a0hnti@kuhes.ac.mw.Applications should be received no later than\u00a015\u00a0August\u00a02025\u00a0at\u00a01700h\u00a0CAT.Further enquiries about the PhD position may be directed to\u00a0hnti@kuhes.ac.mw.<\/p>\n
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