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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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. This collaboration of European and American specialist trauma centres aims to advance research in the field of fundamental, translational and clinical research into the body’s acute and longer-term response to severe
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(Understanding and eliminating district-level corruption in the health sectors in Nigeria and Malawi), we have pioneered a novel approach seeking to identify the institutional and structural drivers of corruption
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to join the Environment & Health Modelling (EHM) Lab (https://www.lshtm.ac.uk/ehm-lab ) led by Prof Antonio Gasparrini. The successful candidate will work on the project CONNECT – Cohort and environmental
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regression models to complex forms of observational data, and of applying causal inference approaches to health data are essential. Experience of analysing time-to-event outcomes is desirable. This role offers
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for an enthusiastic and highly motivated Research Fellow to join the world-leading tuberculosis (TB) Modelling group at LSHTM. The successful candidate will be supervised by Dr Rebecca Clark and Prof Richard White and
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the use of mathematical modelling of infectious diseases. The post-holder will work closely with partners within the Global Polio Eradication Initiative to ensure that research is focused towards supporting
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the College’s small animal referral hospital by further developing and delivering advanced cardiac surgical therapies through the open heart surgery programme, at the Royal Veterinary College. We are looking
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, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our
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health researcher is sought with expertise in quantitative surveys, mathematical modeling in nutrition (especially in Sudan), and crisis clinical nutrition program management. The ideal candidate should