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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group at the Department
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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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programming skills (in Python, R or similar) and experience with large-scale data analysis using bioinformatic tools and pipelines to analyse and interpret biological data Attributes and Behaviour • Be
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staff and more than 6 PhD students. See https://www.nottingham.ac.uk/mathematics/research/mathematical-neuroscience.aspx for further information. The positive research environment fostered by the School
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V236E (ε3), which reduce the risk of AD by 2–3 times. This project will use bioinformatics and big data and induced pluripotent stem cell (iPSC) models —cells generated in the lab that can mimic brain
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for example synchrotron based experiments. More information on these facilities can be found; There will be many rewards: Working as part of a large and experienced team across the cohorts will ensure a
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Research theme: Nuclear thermal-hydraulics How to apply:uom.link/pgr-apply-2425 How many positions: 1 This 3.5 year PhD is fully funded, home students and students with settled status are eligible
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local extinction of large-bodied frugivorous birds and mammals, leaving structurally intact yet defaunated forests missing key ecological functions like seed dispersal for large-seeded plants. Studying
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Self-funded PhD opportunity in 6G as part of major project hub, further funding possible subject to progress of project and student. Focus on native AI in 6G systems with experimental testbed and
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. when do we stop modelling? How do we track / score the quality of the model What is the required level of quality over time How can quality be brought to the required level Can Machine Learning, Large