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This is for one position which can be appointed at either Associate or Fellow level depending on experience and skill set New full-time post is available from January 2026 on a fixed term basis for
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dynamics in the machine-learning predictions, we aim to understand drivers of predictability: are there “windows of opportunity” of high predictive skill which may benefit farmers? Please note that this post
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Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with potential
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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to formulate and lead a research programme that will deliver innovative, world-class science in molecular host-microbes interactions or a related field and good knowledge of JIC/NRP research fields, underpinning
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Government policies and to inform innovation for industry leading to increased economic growth. Our main source of funding is from the Scottish Government funded Strategic Research Programme (SRP) which we
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digital tools. One such tool, developed through the Cluster-AIM programme, uses social care and health data to identify people at risk of escalating social care needs. About the role You will support the
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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
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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to 31 March 2027. The successful applicant will carry out experimental and computational work related to this project. The post will include the following duties: To undertake research, to act as research