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will have a PhD in a related field, an emerging track record of outstanding publications, and well-developed plans for new research projects. This post is generously funded by the A. G. Leventis
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The post-holder will work in the recently established
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will join a highly successful and supportive TB modelling group, with scope to take initiative for research within the field. The post-holder must have a postgraduate degree, ideally a doctoral degree
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have a post-graduate degree in epidemiology, environmental science or a related discipline, preferably a doctoral degree. Experience in conducting quantitative research is essential and experience
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cancer care across North East London. Specifically we have synergistic projects to reduce treatment variation and implement cancer MDT streamlining. The post would suit registered healthcare professionals
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proven ability using statistical software for managing and analysing data using STATA/SAS/R. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and
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. The post holder will have a postgraduate degree, ideally a doctoral degree in social science or related field, demonstrated research experience in social science research methods, publications and the
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Global Mental Health joining a team working at the interface between epidemiology, intervention development and testing, and intervention science in low resource settings. The post will be based in
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the Medical Statistics Department and includes teaching postgraduate students at LSHTM. The successful applicant will have a post-graduate degree in biostatistics or a related discipline, preferably a doctoral
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to diversify the means/modes of interaction in the workshops (up to 4 pages; font: times new roman 12). Applications close midnight (BST), Thursday 17th July 2025. If you would like to discuss the post