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these institutional arrangements influence public space outcomes such as accessibility, safety, social value, and sustainability. Key questions include: How can governance structures better coordinate the multiple
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Liu (Lead Supervisor), School of Engineering Dr Dehong Huo , School of Engineering Eligibility Criteria A minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed
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PhD project (such as Electrical Engineering or Computer Science) is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work
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! Education Master's degree (Bac+5) in telecommunications, computer science, or a related field, with an interest in AI, cognitive networks, or connected vehicles. Experience and skills Prior experience with
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on an important topic in a well-funded multi-disciplinary international training network. The training involves multiple activities, in addition to your research, and secondments across our partners. Overview
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background in psychology, neuroscience, cognitive science, or a related discipline, and a keen interest in cognitive computational neuroscience. You will join a vibrant and supportive research team with access
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Cramwinckel (climate modelling), and international partners. Your qualities You are a motivated team player with a strong interest in paleoclimate and have completed your MSc degree in Earth Sciences
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to join our team. We invite individuals with expertise in microbiology, immunology, systems biology, or computational biology to contribute to innovative research on the female urogenital microbiome
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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Computer Science Studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email address Dr. Ping Lu: p.lu@leeds.ac.uk