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the analysis and processing of fine and microscale oceanographic data, preferably from autonomous platforms. We value knowledge of inverse methods to estimate ocean circulation and mixing. You will demonstrate a
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to inform decision making and action involving your team in research activities, and in the analysis, synthesis, and clear presentation of outputs understanding the diversity of users in the context
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, faculties and doctoral college as required, prepare reports, review workflows and analysis data to ensure operational effectiveness, supervise the assignment and registering of DOIs for University
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that the UK remains at the forefront of digital skills and AI. Work spans across three project themes: 1. Large language models for (survey) research and data usage and analysis, 2. AI in prediction and in
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applicants with experience from a broad range of backgrounds, including architecture, engineering, physics and statistical analysis. You will be someone who wants to work in a collaborative team environment
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, and simulation. Strong programming skills (Python, MATLAB, or C++). Excellent problem-solving skills and a collaborative mindset. Experience with micro-Doppler or range-Doppler radar analysis
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essential. You will primarily be responsible for conducting CPRD analyses. The role requires strong organisational skills, independence, and proficiency in statistical analysis or epidemiology. You will also