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theory as well as engaging with pressing real-world problems that affect cities. You will have the opportunity to be supervised by internationally acclaimed scholars. Our strengths include: Big data, GIS
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the management and processing of large datasets, the use of Geographical Information Systems and mathematical modelling. The student will be supervised by an interdisciplinary team of researchers with expertise in
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, or behavioural sciences to join our group of PhD students. Methods will include: Secondary Analysis of big data using natural experimental approaches; Qualitative Research methods and Mixed Methods. Inequalities
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data with complementary datasets already collected, such as grain size and magnetic susceptibility. Through statistical investigation, the student willestablish robust connections between different
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ligands may be useful in both health and disease. Techniques: Modern molecular pharmacology and signal transduction analysis Molecular dynamics simulations, informatic searching of large sequence data-sets
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and offer students an opportunity to train in a unique interdisciplinary culture and environment. The advent of large scale data sets from health services, the environment, public services and the
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eukaryotes because it does not involve an originally photosynthetic symbiont. Genomic data indicate that the basic physiology of Perkinsela shares many biochemical features with other kinetoplastid pathogens
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RAN and backhaul Self Organisation of Cellular Networks Use of Artificial Intelligence and Big Data Analysis for Self Organisation Use cases of 5G technology (example areas include): Smart Transport
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-computer interfaces, stem cell differentiation using nanotechnology, robots as orthotic aids, and the creation of artificial cells. Research areas Our research expertise covers the following areas: Advanced
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: 2-3 years full-time; 3-4 years part-time; Apply now Overview Overview At any time we comprise about 35 academics, 2 Fellows (Marie Curie and Adam Smith), 20 research associates/assistants and large