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skills, particularly in Excel, with the ability to interrogate and analyse large volumes of data, identify trends and effectively report on findings Essential Application/ interview Professionally
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Are you a STEM graduate with a thirst for knowledge and a talent for picking up new skills? Do you thrive on a mix of hands-on experimental work and in-depth data analysis? We're looking for a fast
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aspects of working with manufacturers, large and small, to identify and deliver projects aimed at improving efficiency, productivity, quality, and sustainability. In this role you will be expected
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Office (particularly Excel) and Google applications, and the ability to learn new software. Essential Application/Interview The ability to handle, manipulate and interpret large data sets, and to work
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development in modern cements formulated with SCMs is therefore urgently required, to enable quality control and make them practical for use in large-scale construction. This PhD uses advanced spectroscopic
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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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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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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
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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