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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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. cell culture, molecular biology, imaging, cell signalling assays). As well as performing experiments on the project, the role will involve providing training in techniques to relevant staff/students
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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(including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent facilities for experimental work including approximately 2500m2 of research space
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(UNAM). Aim: To use novel elasticity-characterisation techniques to study sperm cells and assess elasticity as a novel marker of fertility in various settings including cells affected by environmental and
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are increasingly using self -funded services via pharmacies, getting both medicines and health advice to treat common infections without seeing a doctor. The vast “smart data” that these interactions are producing
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manufacture, nuclear waste storage, green platforms for growth of functional materials, fuel cell hermetic seals, electrolytes, carbon capture solvents and thermal energy storage media. It is also vital
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Glycosaminoglycans (GAGs) are linear sugars that are displayed on all cells throughout the body as well as in the matrix. Like other glycans, they are not built against a defined template, and yet their structure is
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. References, and Your personal statement. Once your PhD programme online application has been submitted you must email li-nubs-phd-support@nottingham.ac.uk to indicate you would like to be considered
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computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK