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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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. This includes developing and training deep learning models for tasks such as scene understanding, object detection, segmentation, classification, and pose estimation, as well as integrating these models into real
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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
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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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and papers for presentation at conferences and workshops under the direction of the Principal Investigator or Grant-holder. To assist with the development of research objectives and proposals
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methods and extend the research portfolio. To deal with problems that may affect the achievement of research objectives and deadlines by discussing with the Principal Investigator or Grant-holder and
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The post holder will be responsible for a) designing and conducting an original programme of individual research that aligns with the aims and objectives of the Visual and Material Lab and b
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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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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