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statistical shape analysis, Riemannian geometry, time series and stochastic processes, and Bayesian statistics. Key responsibilities: To carry out research within the framework of the project, under
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predictive machine learning models for track and vehicle degradation using cutting-edge deep machine learning, and will integrate these into MoniRail's real-time monitoring system to deliver intelligent, data
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members of the Mathematical and Theoretical Physics Group, contributing to the UKRI Future Leaders Fellowship project "Quantum Symmetries in Diverse Dimensions." The objectives of the project include
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The Role and Department Durham University has an ambitious ten-year strategy (2017-2027) to achieve its objectives of becoming world-leading in research, teaching and the wider student experience
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takes place and its effects on ecologies and livelihoods. This research 'follows the sand', starting with extraction points in Southeast Asia. The research objectives driving this study are designed
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Your research in our Law School and University will contribute to strategically important research objectives as part of the (CSDLP) internationally leading JusTN0W initiative ('Just Transitions
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in delivering the objectives of the programmes. This will include the postholders appointed within each of the five institutions to support these programmes. The postholder will be responsible
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track-record in this arena, and to have well-advanced plans for applications. Successful candidates must demonstrate a commitment to working in the transdisciplinary environment of the Heritage360
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audiences. To assist with the development of research objectives and proposals. To work with the Principal Investigator or Grant-holder and other colleagues in the research group, as appropriate, to identify
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with the objectives of the BBSRC-funded project and work closely with the PI, Dr Jungnam Cho, and his group members. This post is fixed term for three years. The funding is available from 01/08/25