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a supporting statement, and you should outline how you meet the essential criteria of the role and evidence this with examples. Key Accountabilities Contribute to the research programme in the field
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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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You will contribute to a programme of research, funded by the Horne Family Charitable Trust, which aims to increase the evidence base on Domestic Violence and Abuse (DVA) experiences of people with
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outline how you meet the essential criteria of the role and evidence this with examples. Key Accountabilities Contribute to the research programme in the field of Bayesian computational statistics as part
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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Applications are invited for a Research Associate position to work as part of the flagship Centre for Landscape Regeneration (CLR). The CLR is an ambitious programme of research that aims to provide
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programme. It is led by inaugural Director Professor Michael Kenny and Professor Diane Coyle, Bennett Professor of Public Policy. Applications are invited for a Research Assistant/Associate position in