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in at any time. Background The School of Mathematics welcomes applications for a research fellowship in statistics to work on the UKRI Future Leaders Fellowship project ‘Computational Statistics
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(HPB). The medical oncology grouping sees close to 550 new cases of these cancers a year. There is a large active clinical trials programme that spans phase 1 to phase 3. These patients have a poor
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to assess potato dormancy break, including: data collection, processing, AI model development and classification accuracy assessment. Involved in supporting an electrophysiology-based machine learning model
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Research Associate/Fellow position at the School of Mathematical Sciences, Nottingham, for the duration of 3 years. The project deals with the development of mathematical tools and models to determine the
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in at any time. Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research
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Assistant under the supervision of Prof. Antonio J. Gil, in order to meet the research objectives of an awarded Research Fellowship in the area of control modelling of EAP driven soft robotics. Specifically
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, trustworthy AI, explainable AI, large language models, quantum computing.
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values diversity acting as a role model and fostering an inclusive working culture Person Specification A First degree with strong quantitative and informatics component e.g. biological, biomedical
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, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data and processes guided by principles
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development, research delivery, and dissemination; leading/supporting grant applications to prestigious funders; contributing fully to our ARC Academy training programme. The postholder will also support the