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looking for curious, enthusiastic and hard-working candidates with the following expertise: -- an understanding of concepts in fluid mechanics, and analytical and numerical methods to solve partial
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information storage. However, most DNA storage systems remain passive: data are written, archived, and read. This PhD project will help pioneer a new generation of dynamic DNA data storage systems capable not
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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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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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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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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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Laboratories 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
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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