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with PhD students and the other PDRAs of the Prosperity Partnership. The PDRA will report on project progress and outcomes to the Prosperity Partnership Management Group, as well as participating in
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development of Machine Learning (ML) models and Digital Twins. 11. Engage in continuing professional development activities as appropriate. 12. Undertake any other duties of equivalent standing as assigned by
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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practice impact while also learning about machine learning techniques. The successful applicant will work in the newly formed Health Equity Evidence Centre and innovative new centre that will generate data
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desirable. - Strong analytical skills, proficiency in quantitative analysis of large datasets and working with pre-trained machine learning models is desirable but not essential Click the 'Apply' button below
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recent research has focused on the theory and applications of variational quantum algorithms and quantum machine learning. Theoretical research into the capabilities of quantum computing and quantum
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(https://cvn.centralesupelec.fr/ ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing Laboratories (LTS5
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. Candidates with strong track records in tropical geometry, machine learning, and related areas are encouraged to apply. Applications are particularly welcome from women and minority ethnic candidates, who
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to work independently and use creative methods and approaches 18. Knowledge of machine learning for image classification Skills Demonstrable ability to plan and manage independent research.
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, the Leonardo engineers involved in the project, and Dr Sam Tammas-Williams and Prof Jonathan Corney from University of Edinburgh. They will also work with PhD students and the other PDRAs of the Prosperity