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Job Purpose You will contribute to the European Space Agency project “Robust Real-Time Constrained Optimal Control using Machine Learning” working with Dr Kevin Worrall and Dr Matteo Ceriotti, in
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developing novel approaches to remote sensing coastal monitoring through automated extraction and analyses of water and vegetation edge indicators using Machine Learning and AI-driven methods. These methods
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viruses infect and cause disease within new host species, including potential for human pandemics. The post holder will be responsible for developing innovative supervised machine learning and graph
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machine learning approaches to multi-omic datasets. D2. Skills with microbial-immune culture experiments. D3. Familiarity with spatial technologies such as transcriptomics and proteomics. Experience
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deploying machine learning techniques in quantum device and circuit design and modelling. C5 Excellent communication skills (oral and written), including public presentations and ability to communicate
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application of Machine Learning methods. F4 Experience with Timepix4. Closing date: 25 March 2025 Terms and Conditions Salary will be Grade 6/7, £33,232 - £36,924 / £40,247 - £45,163 per annum. This post is