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following the renowned "Work-Integrated University-Industry Collaborative Talent Training Model." We offer cutting-edge programs in high-demand fields: Digital Technologies, Computer Science, Logistics
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We would like to appoint an Application Developer to be responsible for the software development of a Greener Trials Toolkit. The Toolkit will be an online, open-access, digital carbon calculator
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About you- We’re looking for someone who leads with fairness, integrity, and inclusivity, consistently creating an environment where everyone feels valued and heard. You will proactively develop and inspire others, offering clarity behind decisions and encouraging accountability across the team....
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Job titleDeputy Dean (Computing) Job referenceRU04980 Date posted09/12/2025 Application closing date31/01/2026 SalaryCompetitive Salary Contractual hoursBlank BasisBlank Job category/typeAcademic
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cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap
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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. Members of the team also teach on courses in cloud
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Full-time: 35 hours Fixed term: 3 years with possibility of extension Up to 4 posts available The Opportunity: Join EPCC, the UK’s National Supercomputing Centre, in a highly technological and fast-moving field. We are seeking up to four motivated Application Developers. This role is for you if...
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BBSRC Yorkshire Bioscience DLA Programme: How does Keratin switching enable regenerative cell recruitment to sites of injury? School of Biosciences PhD Research Project Competition Funded Students
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types