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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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workspaces under positional restrictions. Develop smart control algorithms that will allow the robotics end-effectors to communicate with the central control system and coordinate tasks with other end
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-rounded academic background ◾Demonstrated ability to develop precision mechatronics system and algorithms ◾Ability to develop kinematic and/or dynamic analysis of mechanical/robotic systems ◾Ability
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to attend scheduled online and in-person meetings and events with relevant parties in the Nottingham area, though extended periods of research will also be undertaken in London and elsewhere. Informal
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within 1 week of close of applications, with interviews to follow within 2 weeks after that. The closing date is 10th July and interviews are scheduled to held on 18th July. Requests for secondment from
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spread over five months (October 2025-February 2026). The duties will include: Observing a series of training sessions, in-person at University of Nottingham. Assisting with the design of a schedule of