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should have substantial research experience in machine learning, statistics and bioinformatics and will develop models for biological age prediction from multiple image derived phenotypes. Expert knowledge
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or other cohorts. The successful applicant will use their computational and statistical expertise to identify novel research opportunities to better understand complex diseases. Main Duties : Develop
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carrying out statistical analysis. Please visit Work at UCL for further information. About you The candidate must have a PhD or equivalent working experience in epidemiology, global health, statistics
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clinical trials. The George Institute wishes to further develop its impact by focusing on efficient, patient-centered clinical trials. This is to be supported by the application of novel statistical and data
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-visible-spectrum reflectance). This project brings together statistical modelling of the data-generating process with machine learning, including deep learning, techniques, to model and predict bumblebee
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Location: Department of Statistics, 24-29 St Giles', Oxford We are seeking to recruit a Postdoctoral Research Assistant funded by Wellcome. This postholder will work on the development and
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the project. About the role: You will work with Dr Theresa Smith and collaborate with Dr Aisling O’Kane and her team at the University of Bristol. You will conduct fundamental research in statistics and machine
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surveys. The post-holder must have a postgraduate degree in a field related to Public Health Nutrition, Epidemiology, or Public Health, with demonstrated strengths in geospatial and statistical methods
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continuous innovation and improvement in the services we offer. With a degree or equivalent experience, you will have a solid understanding of benchmarking and statistical inference, and be adept
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statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making agents, including uncertainty quantification at the agent’s level. The project will