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to unravel the ecological and functional diversity of MFRE associations. You will be responsible for developing and applying analytical frameworks to interpret these large datasets, enabling new insights
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large image datasets (e.g. from manufacturing, remote sensing, or media) Desirable Application/Interview Experience working with research ethics applications, data governance processes, or contributing
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and Google Calendar. The ability to produce accurate work with attention to detail and to maintain a confidential approach to information, documents and data is also a prerequisite for this post
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found here : Main duties and responsibilities Identify, organise and review appropriate literature, including academic, policy and grey literatures. Collect and analyse industry data, large scale panel
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ability to learn new software Essential Application/interview The ability to handle, manipulate and interpret large data sets, and to work to the highest degree of accuracy with attention to detail
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. Scope and gather industry data, large scale panel data and data from databases Design prospective geo-spatial-temporal LCA models and set criteria for supply chain sustainability and resilience
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have expertise in data analysis, microeconomic modeling, and relevant econometric techniques. Excellent communication skills and the ability to work both independently and as part of a team are also
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are evaluated in controlled settings and do not fully capture the realities of large-scale ecological applications. This PhD project will investigate Long-Tailed Open-Ended Semantic Segmentation (LTOESS), a
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in these elements leads to common and rare disease. You will work with large scale genome sequencing datasets (e.g. UK BioBank, 100,000 Genomes Project, gnomAD) and RNA-Seq data, adapting and applying
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activities. Lead the development of a data system with School staff and University central services. Manage and present large volumes of complex data to support data needs of the School, primarily to support