41 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS"-"St" positions at University of London
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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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including malaria, have experience and understanding in using multiple metrics for analysis, experience with design and implementation of study protocols, experience of data analysis in Stata and programming
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Liu. You will be a key member of the CDA Group, contributing to our development and the success of our mission. The core responsibility of this role is the development of multiscale computational models
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cancer patient care. BCI is committed in supporting and developing future cancer researchers through its extensive postgraduate training. It is one of six institutes within the Faculty of Medicine and
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About the Role This is an opportunity to work as part of the team and project “Development of Multi-Modal Foundational Models and AI Accelerators for Zero-shot Intelligent Surveillance System
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to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures of health, well-being, and human
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Development opportunities Pension Scheme with generous employer contribution Various schemes including Cycle to Work, Season Ticket Loans and help with the cost of Eyesight testing. Free parking The successful
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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possible thereafter). In return we offer a highly competitive rewards and benefits package including: Generous annual leave entitlement Training and Development opportunities Pension Scheme with generous
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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