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Experience in analysing drugs and metabolites from human breastmilk Competency in using computer software to collect and process data, e.g. use of Excel, statistical software and machine learning approaches
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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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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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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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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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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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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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. 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