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Subject area: Drug Discovery, Sustainability, Laboratory Automation, Microfluidics, Machine Learning Overview: This highly interdisciplinary 4-year funded PhD studentship will contribute to cutting-edge advancements in automated drug discovery and bio-instructive material manufacture. The...
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pressure to reduce both energy demand and chemical consumption. Project SandSCAPE, an Ofwat-funded programme, tackles this challenge by integrating purpose-built robots that skim slow sand filter beds while
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much encouraged and should be directed to Dr Catarina Rendeiro (c.rendeiro@bham.ac.uk ) To apply, click the 'Apply' button above. Apply to programme 0355 PhD Sport & Exercise FT and select ‘Dr Catarina
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additional training costs; A comprehensive individual training programme, across all years of the award; A funded three-month placement opportunity. How to apply You should first approach a potential lead
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of Computer Science, and the machine learning group in particular, conduct world-leading research across a wide range of disciplines. Sheffield University is home to the Centre for Machine Intelligence (which
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of the largest Statistics departments in the world, with a thriving PhD programme and a long-established reputation for research activity of the highest quality, enhancing both the PhD student experience and the
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stipend at the UKRI rate (£20,780 in 2025-26 for full time students), and a contribution towards research and training costs; A personalised training programme, to develop research, communication
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, including engineering, mathematics and the physical sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance
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the computational and experimental methods will be provided in the projects, although relevant previous experience would be advantageous. Applications for this PhD project should be submitted via the University
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, Engineering) and should be self-motivated, able to take ownership of their research, and effectively communicate their research findings. Training in all the computational and experimental methods will be