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using techniques such as X-ray micro-computed tomography and X-ray Absorption Near Edge Structure (XANES). You will also undertake laboratory-based imaging and develop analytical workflows to process and
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Research Fellow role embedded within a major externally funded research programme in soil science. You will lead the delivery of synchrotron and X-ray imaging components of a UKRI Future Leaders Fellowship
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, more efficient and resilient transport systems and AI enabled circular manufacturing supply chains. Working with researchers, industry partners, and stakeholders, you will develop and apply computational
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/09/2026 Role Description We welcome applications from skilled researchers with a passion for advancing simulation, modelling and control technologies for automated cars. About the Role The postholder
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close to completion) in a relevant subject, such as computer science, embedded systems, robotics, mechatronic engineering, or closely allied topics, or be able to demonstrate a comparable level of
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into many novel aspects of developing offshore digital twins, such as sensing, data handling, physics and AI modelling, software development, as well as experiments at the Cranfield Ocean Systems
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) First Stage Researcher (R1) Application Deadline 11 Sep 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme
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Researcher (R1) Application Deadline 11 Sep 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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conferences. About You You will be educated to doctoral level in Remote Sensing, Geography, Geoinformatics, Computer Science, Artificial Intelligence, Machine Learning or a related discipline. You will have
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within a major externally funded research programme in soil science. You will lead the delivery of a substantial component of a UKRI Future Leaders Fellowship, delivering field, laboratory and experimental