280 phd-computer-science-fully-funded-"IMPRS-ML"-"IMPRS-ML" positions at University of Nottingham
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portfolio, conducts cutting edge research into the development of future Intelligent Reconfigurable Manufacturing Systems. This is 3-year fully funded studentship and is only open to UK home students. The
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Open PhD position: Autonomous Bioactivity Searching Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 42-month funded PhD studentship will contribute to cutting
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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stress resilience. Applicants must be highly motivated, with a PhD in plant biology or a related area. PhD students about to submit their thesis in a relevant area will be considered. The successful
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Fully-funded PhD Studentship: Adaptive Mesh Refinement for More Efficient Predictions of Wall Boiling Bubble Dynamics This exciting opportunity is based within the Fluids and Thermal Engineering
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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The School of Health Sciences is looking for a passionate, hardworking health care student, on track to complete the 2nd year of their degree studies with a predicted 2:1 or above at the University
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—quality post-graduate research development and training environment of the University of Nottingham. This PhD scholarship is offered in collaboration with the UKRI funded transdisciplinary hub
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In 2025, the University of Nottingham and King’s College London will launch the new Leverhulme Centre for Research on Slavery in War, funded by the Leverhulme Trust for up to £10 million over ten
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Based in the Faculty of Engineering at the University of Nottingham, this team-based technician role will focus on providing mechanical engineering support to high profile, industrially funded