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machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity
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Project: AI-Driven infrastructure inspection: continual improvement through reinforcement learning. A three-year studentship, beginning in October 2025. This project is an exciting opportunity
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PhD Studentship: A continual learning approach for the development of robust robotic control systems
A continual learning approach for the development of robust robotic control systems This project is an exciting opportunity to undertake industrially linked research in partnership with
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cohort to benefit from peer-to-peer learning and transferable skills development. For full information about the programme, the research projects available and how to apply, please visit: http
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Open PhD position: Waste to Medicine Subject area: Drug Discovery, Sustainability, Laboratory Automation, Microfluidics, Machine Learning Overview: This highly interdisciplinary 36-month funded PhD
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to our success, it is fundamental to our values and enriches life on campus. Learn more about the university commitment to Equality, Diversity and Inclusion . We are delighted to share that we
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between chemical and mechanical aspects of sperm cell biology remain largely unknown. In this project a successful candidate will learn, elasticity characterisation techniques, processing and evaluation
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photonic design software (Lumerical, Comsol, MEEP or HFSS) will be an advantage. A solid understanding of electromagnetics, mathematics and statistics, and machine learning theory/algorithms, with excellent
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with a background in Chemistry, Biochemistry, Chemical Engineering or a related discipline, who have a strong interest in sustainable chemistry and a desire to learn more about business. The starting
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approaches. The student will spend 3 months with Neupulse, a neurotechnology start-up focusing on neuromodulation devices, where they will learn about translating and commercialising research findings