76 embedded-system "https:" "https:" "https:" "https:" "UCL" positions at Cranfield University
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This is a self-funded PhD position to work with Dr Adnan Syed in the Surface Engineering and Precision Centre. The PhD project will focus studying high temperature corrosion mechanisms in details
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Organisation Cranfield University Faculty or Department Apprenticeships Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday. Flexible
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Organisation Cranfield Quality Services Faculty or Department Cranfield Quality Services Based at Cranfield Campus, Cranfield, Bedfordshire Join an exceptional team at Cranfield Quality Services Ltd
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Organisation Cranfield University Faculty or Department IT Services Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday. Flexible
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Organisation Cranfield University Faculty or Department IT Services Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday. Flexible
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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Organisation Cranfield University Faculty or Department IT Services Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday. Flexible
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Organisation Cranfield University Faculty or Department IT Services Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday. Flexible
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Organisation Cranfield University Faculty or Department IT Services Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday. Flexible
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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