50 phd-position-in-information-retrieval PhD positions at Cranfield University in United Kingdom
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will be quantified. The proposed framework validation will be achieved by implementing it on a selected manufacturing sector. At a glance Application deadlineOngoing Award type(s)PhD Duration of award3
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. These insights will directly inform future nature-positive urban design. If you are passionate about ecological systems, urban sustainability or applying advanced quantitative methods to real-world environmental
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urgent need for novel freshwater quality monitoring solutions to help mitigate the risks that contaminants pose to water security, human wellbeing, and biodiversity. This PhD will work with conservation
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functioning and human wellbeing outcomes. These insights will directly inform future nature-positive urban design. If you are passionate about ecological systems, urban sustainability or applying advanced
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Cranfield University is excited to invite applications for a PhD studentship focused on developing and validating innovative origami-paper eDNA sensors with community scientists for the rapid
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to develop cutting-edge quantitative and applied environmental skills with real-world impact. It is a fully funded NERC CENTA PhD Studentship for 3.5 years with CASE support from BASF. Successful home-fees
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. While autonomy is becoming more integrated into modern mobility, the reliability of Position, Navigation and Timing (PNT) systems—especially in environments where GNSS signals are denied or degraded
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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Start date: 28/09/2026 Fee status: UK Duration *: 4 years 1st Supervisor: Dr Simon Jude 2nd Supervisor: Dr Robert Grabowski This funded PhD studentship is an exciting opportunity to conduct new
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and kinematic models with machine-learning-based channel state information (CSI) prediction to enable robust, low-latency connectivity across multi-layer NTN systems. This PhD project sits