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. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate adaptation, and infrastructure resilience. This project will tackle that challenge by developing a new blended
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datasets in line with FAIR data standards, and developing reproducible computational workflows. The role will also involve preparing datasets and documentation for open publication, maintaining project
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support for a research project. Will assist with tasks that may include community outreach, data collection, sample collection, laboratory work, and/or field work. Collects and/or organizes data through
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sensible impacts towards a more sustainable environment and generate state-of-the-art knowledge needed for the next generation of environmental scientists. For further information on the project, we will be
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available for students progressing to one of the following postgraduate programmes: · MSc Accounting and Finance · MSc Business Analytics · MSc Finance and Investment · MSc
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food policy. Technical Skills & Expected Level of Proficiency Analytical Skills - Developing Attention to Detail - Developing Electronic Office Tools - Developing Information Gathering - Developing Oral
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variety of operational and technical activities key to the conduct of and direction of the research. Specific Duties & Responsibilities Develop data collection tools based on understanding of underlying
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Research Institute’s ESRC and EPSRC. The pathway is seeking to develop expertise in researching human behaviour, combining advanced quantitative and digital analytical methods, applied to data generated
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food policy. Technical Skills & Expected Level of Proficiency Analytical Skills - Developing Attention to Detail - Developing Electronic Office Tools - Developing Information Gathering - Developing Oral
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related field. Minimum of 6 years of highly relevant professional work experience in transportation, policy, research management, public sector partnerships, or a related sector. Strong analytical and