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Essential Criteria: Qualifications A good first degree in Computer Science, Machine Learning, Maths and Statistics, Robotics or a related subject. A PhD (or an MSc with extensive research experience) in
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to collaborators as well as broader audiences through e.g. conference presentations. Candidates must hold a PhD degree in supramolecular chemistry, and will have experience in the synthesis, modification, analysis
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Intelligence (AI) and development of Machine Learning (ML) models and Federated Learning. 11. Engage in continuing professional development activities as appropriate. 12. Undertake any other duties of equivalent
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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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(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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, 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