26 phd-architecture-and-urbanism PhD positions at University of Cambridge in United Kingdom
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The UKRI-funded 5-year project, 'Colombo: Layered Histories in the Global South City', selected for funding by the European Research Council under its 'HORIZON' programme, is recruiting to its
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 15 Sep 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Offer
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A PhD is desirable but not required. Other industry, city government or research experience that demonstrates the capability to produce independent original research is also desirable. Very good
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
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equivalent) in a subject related to design or human behaviour (including, but not limited to, engineering, design, architecture, psychology, cognitive science and neuroscience). It would be an advantage
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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Applications are invited for a PhD studentship on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier
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catalytically active metals to drive chemical reactions with light [3-4]. The specific goals of this PhD project are to 1) understand how plasmonic Mg nanoparticles and their surface oxide layer attract and
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading