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Design and Evaluation of Pseudomonas aeruginosa virulence inhibitors for integration into healthcare biomaterials School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr
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in mathematics, statistics, physics, aerospace engineering, signal processing, electrical engineering or a related subject. A background in experimental research is essential, as is knowledge
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New macro-ligands for protein binding, and drug delivery School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr L Twyman Application Deadline: Applications accepted all
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where it may be diminished, e.g. though ageing or a physical interface such as a sock or glove. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics
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Engineering, Aerospace Engineering, Physics or Applied Mathematics. How to apply: Please complete the enquiry form to express your interest - : https://tinyurl.com/2cxa9smw We strongly recommend you contact
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equivalent) in computer science, or a related discipline such as physics, mathematics, or engineering. Preferred qualifications are a 4 year undergraduate and/or a Master's degree in computer science or a
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deteriorates with age or is linked to particular medical conditions. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. View
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work on one or a number of these aspects. Students with good degrees on robotics, electrical engineering, computer science, mathematics, cognitive science or subjects where signal processing and
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. Requirements: 1st or 2:1 degree in Engineering, Physics, Mathematics, or other Relevant Discipline. For further information please contact Dr Jose Curiel-Sosa (j.curiel-sosa@sheffield.ac.uk) Funding Notes
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robustness against various uncertainties originating from the network is our primary objective. This research will require and rely heavily on a control-theoretic and mathematical background. We require