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of an agent-based model for Brazil The post-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic and will have expertise in analysing large quantitative datasets and in
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are recruiting a Research Fellow to work on modelling
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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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have existing expertise in one or more of numerical relativity, gravitational wave modelling and data analysis, mathematical relativity, well-posed formulations of alternative theories of gravity, and be
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network of GP practices across the UK. The post-holder will have a postgraduate degree, ideally a doctoral degree, in a relevant topic and experience developing complex statistical models for real data
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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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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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team and have good communication skills. The applicant will be subject to DBS check, right to work requirements and ability to carry out exposure prone procedures. It would be desirable to see ability
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School at the University of Sussex (BSMS). Candidates accept that, if successful, they may be awarded a fellowship at any of the five partner institutions. Appointments will be made to match an appointee’s