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Leverhulme Doctoral Programme, which is funding up to 18 PhD studentships to conduct multidisciplinary research on freshwater ecosystems, across two universities, Cranfield and Roehampton. The programme aims
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value. Yet these trade-offs remain poorly quantified in complex urban landscapes. This PhD will investigate how urban blue networks can be optimised for both ecological resilience and community wellbeing
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an unparalleled PhD opportunity. This groundbreaking initiative funded by EPSRC, brings together the world-leading expertise of the University of Surrey and Queen's University Belfast. Program Highlights: Enhanced
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undergraduate students at the University of Warwick and work closely with relevant networks including Cerebra Network and Midlands Mental Health and Neuroscience PhD Programme for Healthcare Professionals. Please
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the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical
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This PhD studentship covers fees and stipend for a home (UK) student to investigate how urban blue networks can be optimised to enhance ecological resilience and community wellbeing. The project
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engineering Engineering » Electrical engineering Computer science » Computer hardware Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 27 Feb
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Variability Lab (led by Professor Emily Farran) and the Cerebra Network (co-led by Dr Moss). They will collaborate with PhD, Clinical Doctoral, Masters and undergraduate students engaged in neurodevelopmental
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covers fees and stipend for a home (UK) student with funding provided by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Options exist for PhD and Master + PhD routes
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Location: Central Cambridge PhD Studentship - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis