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intelligent and resilient navigation systems, contributing to the UK’s Net Zero transport strategy. Outcomes will include novel AI algorithms, validated navigation architectures, and new insights into next
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systems and AI enabled circular manufacturing supply chains. Working with researchers, industry partners, and stakeholders, you will develop and apply computational and AI based approaches to analyse
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potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been
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the Front Desk computer system. Ensure that all administration duties are carried out in line with DWI procedures. Provide accurate reports for the Management Team and other Departments as required, to assist
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to doctoral level in Remote Sensing, Geography, Geoinformatics, Computer Science, Artificial Intelligence, Machine Learning or a related discipline. You will have experience developing deep learning models
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 5362 Is the Job related to staff position within a Research Infrastructure? No Offer
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number 5358 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday. Flexible working will be considered. Contract type Fixed term contract Fixed...
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 5332 Is the Job related to staff position within a Research Infrastructure? No Offer Description Cranfield