25 phd-position-in-data-modeling-"Prof"-"Prof" Fellowship positions at University of London in United Kingdom
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environment. Further information on the programme is available at: PROGRAMME | CREATE PhD Programme (create-phd.org) This programme is aimed at supporting health professionals who wish to undertake rigorous
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applications. For further information visit the UK Visas and Immigration website . Applications are invited for a 3-year, full-time Postdoctoral Research Fellow position in the Department of Psychology at Royal
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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, ideally including multilevel modelling, experience with reweighting techniques, and preferably expertise in Bayesian data analysis. Ideally the post-holder would be able to start the post before 1 October
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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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-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving
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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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extracellular histone, a damage-associated molecular pattern that is implicated in adverse outcomes after injury. This project will include using a range of clinically relevant models as well as in vitro
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Salvador, Brazil. The post-holder will also contribute to the laboratory analysis, data cleaning and management, and data analysis and write-up a study to assess environmental exposures to enteric pathogen
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Infectious Disease Epidemiology & Dynamics department at LSHTM to work on polio eradication. This role utilises global surveillance data for polio to inform understanding of the status of eradication and