467 web-developer-"https:"-"https:"-"https:"-"EURAXESS" PhD positions in United Kingdom
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for three years. The project focuses on environmental sustainability in grain storage, developing telemetric robotic sensing and predictive modelling to control mycotoxin (Ochratoxin A) risk while reducing
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stormwater) are a sustainable solution, but their long-term performance often suffers due to generic design approaches that overlook plant ecology and the interaction with soil structure development. This PhD
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approaches that overlook plant ecology and the interaction with soil structure development. This PhD project will transform rain garden design by linking plant traits to hydrological and ecological outcomes
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing
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quantification and mapping of the high-dimensional correlation structure across multiple traits, quantification of trait variation that arises from new mutations, development and applications of analysis methods
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Southwestern University of Finance and Economics | London, England | United Kingdom | about 2 hours ago
success from failure in AI systems also appear in neural population codes during analogous cognitive tasks; and (iv) developing new interpretability methods that capture group-level structure in neural
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respond over time (e.g. changing shape, releasing medicines), controlled by the arrangement of the various dissimilar materials within them. The goal of this project will be to develop responsive 4D-printed
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years. Award holders will also benefit from a comprehensive professional development, training and mentoring programme delivered through the University of Westminster Graduate School. The School is
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, heat removal, and temperature feedback. This PhD will develop and validate an integrated, computationally efficient modelling workflow for monolithic HPCR systems, coupling deterministic reactor physics