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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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goods deliveries for the Institute coordinating and documenting the deliveries and manning a goods in desk for distribution of the goods In addition you will be dealing with post and telephone enquiries
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related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm and experience in using these algorithm for electrical engineering problems
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distributed clinical teaching model meaning that it does not operate a veterinary hospital of its own and consequently does not have its own dedicated clinical pathology service laboratory. However, several of
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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and industry coordination. The postdoc will contribute to empirical research, scholarly publications, and the design of human-AI collaboration models. Work will be based at the University of Nottingham
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unique combined system using an optimised AF scanning procedure that integrates Raman measurements to analyse lymph node biopsies within 10 minutes and machine learning algorithms to deliver quantitative
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and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre at the Nottingham Breast
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in academic or commercial diagnostic service environments honing your diagnostic and communication skills. The School of Veterinary Medicine operates a distributed clinical teaching model meaning
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respond to emails and other communications Update and maintain accurate records Help prepare and distribute course materials Support the planning and running of careers fairs, student webinars, and meetings