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from Rolls-Royce plc. This fully funded PhD project, with support from a leading industrial partner, will explore the development of next-generation intelligent sensing and data analysis techniques
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Quantum Fields, Information, and Next-Generation Cosmological Probes This PhD project will investigate theoretical aspects of quantum field theory in cosmological spacetimes, with a particular focus
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diagnosis methods that combine analytical approaches based on drivetrain physical properties with AI-driven data analysis techniques to enhance the accuracy and effectiveness of fault detection and
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geological field data. You will also design and run high-pressure shear-cell experiments on natural and analogue granular materials at Chengdu University of Technology, develop discrete-element simulations
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at the Clinical School, University of Cambridge. The GBC provides analytical and data management support to research groups within the Metabolic Research Laboratories (MRL). This covers aspects of genomics such as
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Studentship Information Supervisor: Prof Rumiana Ray (University of Nottingham) Secondary Supervisor: Dr Hadrien Peyret (University of Nottingham), Dr Dong-Hyun Kim (University of Nottingham), Prof
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Manners 3rd Supervisor: Professor Abbie Jones 4th Supervisor / Industrial Adviser: Dr Richard Harris, Nuclear Restoration Services Applications are invited for a 3.5-year PhD studentship. The studentship
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, Economics, Business Analytics, Data Analytics, Energy Finance, Accounting, or a related field is desirable. Experience with empirical research methods and programming languages such as Python, R, Stata
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in programming for data analysis and algorithm development (e.g. Python, MATLAB). Strong analytical skills and the ability to critically evaluate technical and scientific literature. Excellent
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international equivalent, in computer science, artificial intelligence, data science, human-computer interaction, psychology, organisational psychology, business analytics or a closely related subject. A relevant