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the workplace. For more information, visit: https://www2.aston.ac.uk/about/inclusive-aston Guidance on AI-Assisted Applications While we cannot prevent applicants from using AI tools to support their application
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tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development of user
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of the technique and unlock new areas of materials exploration. The project will involve a mixture of coding, data curation, practical experiments at UK national X-ray and Neutron facilities, and method development
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employees, including a competitive salary, 37 days annual leave per annum and a generous pension scheme. More information on what we can offer can be found at https://www.cardiff.ac.uk/jobs/what-we-can-offer
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, at: https://www.lincoln.ac.uk/jobopportunities/ We strive for a diverse workforce with the very best employees and are committed to creating an inclusive environment for all. The University encourages
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(11): e3002363. https://doi.org/10.1371/journal.pbio.3002363
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, and everything that we have to offer, at: https://www.lincoln.ac.uk/jobopportunities/ We strive for a diverse workforce with the very best employees and are committed to creating an inclusive
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website https://www.sheffield.ac.uk/eee For informal enquiries about this job contact Professor Mahnaz Arvaneh, on m.arvaneh@sheffield.ac.uk Next steps in the recruitment process It is anticipated
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Full time, fixed term contract (ending 31/8/2028) The closing date for applications is 23.59 14/2/2026 Interview date - week commencing 2nd March 2026 By reference to the applicable SOC code
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Durham University will be processing your data. We would ask you to consider the relevant University Privacy Statement , https://www.dur.ac.uk/ig/dp/privacy/pnjobapplicants/ which provides information