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) and will collect transcriptomic, proteomic, and functional data from primary patient samples (blood, cerebrospinal fluid and haemopoietic stem cells). They will leverage advanced computational biology
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routing and scheduling: A review, Computers and Operations Research, 77, 86-95. Entry qualifications Entrants must have a Master’s degree in operational research, computer science, mathematics, operations
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Overview Overview and purpose Large language models, drawing on available data, have the potential to mimic human intelligence, to infer patterns and logical connections and to generate responses that are similar to how a person might respond. This means that AI can offer tailored and human-like...
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community where collaboration, experimentation and interdisciplinarity are embraced and actively encouraged. The successful applicant will be part of the Creative Practices, Methods and Analysis CPMA research
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will cause systemic issues). The advent of new datasets, increased access to more recent data with higher frequencies and particularly to cloud computing, has heralded the advent of a new breed or
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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Overview The NHS faces challenges with current and future demand for health and social care services. This is a complex systems problem affected by multiple internal and external factors such as the patient demographics, staff shortages and retention issues, financial constraints, and lack of...
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damage response in human cancer cells and at the genetic level in Tauopathy (Human Tau overexpressing) models in Drosophila. This research programme will build on our recent data regarding the regulation
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the genetic circuits of self-renewal, maintenance and differentiation underlying tissue development, regeneration of adult epithelia. This program will specifically focus on defining the role of molecular
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cancers. The PhD Programme The overarching aim is to explore available networks of online social support for people and families affected by rare cancers. Three inter-related studies employing a social