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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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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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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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of the research environment High level of analytical and problem solving capacity Ability to communicate complex information with clarity Experience of presentations at conferences and/or in high quality
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class honours degree in an appropriate subject or a relevant Masters qualification. Suitable disciplinary backgrounds include chemistry, analytical chemistry, environmental science, materials science
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research problems In addition for Research Associate Awareness of the research environment. High level of analytical and problem-solving capacity Ability to communicate complex information with clarity
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of analytical and problem solving capacity Ability to communicate complex information with clarity Experience of presentations at conferences and/or in high quality publications Attributes and
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to solve research problems In addition for Research Associate Awareness of the research environment High level of analytical and problem solving capacity Ability to communicate complex information with
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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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international equivalent, in computer science, artificial intelligence, data science, human-computer interaction, psychology, organisational psychology, business analytics or a closely related subject. A relevant