20 application-forms-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" Fellowship positions at University of London
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Technology. Applicants should hold a doctoral degree in public health, epidemiology, or a related discipline, and have strong experience in longitudinal data analysis and advanced causal inference methods (e.g
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will work with our team to shape the research questions, develop recruitment strategies, conduct qualitative and quantitative research, generate data, analyse findings, and deliver public engagement
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, 1.0 FTE and fixed-term for 24 months with potential for extension subject to funding. The post is funded by Wellcome Trust and available immediately. The salary will be on the LSHTM salary scale, Grade
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that when views collide, disciplines interact, and perspectives intersect, original thought takes form. Benefits We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum
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the Drugs for Neglected Diseases initiative. The salary will be on the LSHTM salary scale, Grade 6 in the range £45,728 - £51,872 per annum pro rata (inclusive of London Weighting). The post will be subject
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. The salary will be on the LSHTM salary scale, Grade 6 in the range £45,728 to £51,872 per annum pro rata (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service
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the UKRI/MRC and is available from 01 July 2026. The salary will be on the LSHTM salary scale, Grade 6 in the range £45,728 - £51,872 per annum pro rata (inclusive of London Weighting). The post will be
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available from March 2026. The salary will be on the LSHTM scale, Grade 6 in the range £45,728 - £51,872 per annum pro rata (inclusive of London Weighting). The post will be subject to the LSHTM terms and
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applications from those with experience in longitudinal data analysis including the use of time-series and panel data. The posts are full-time 35 hours per week, 1.0 FTE and fixed-term until 31 March 2027
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designing study protocols and submitting ethics applications; qualitative research using NVivo or similar analysis software; mixed-methods research; statistical analysis; training and supervising teams