26 finite-element-analysis positions at Manchester Metropolitan University in United Kingdom
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analysis of research and related fieldwork and collaborate in the dissemination of the findings to appropriate groups, including the preparation of research outputs. The role will focus on building
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equipment (e.g., 3D scanning, surface inspection). Familiarity with data analysis tools (e.g., MATLAB, Python, or similar) and basic knowledge of machine learning is an advantage. Familiarity with research
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that reconcile incongruent elements and operate on the thresholds and intersections between inert and living matter, between the artificial and the natural. The role will be predominantly working with third year
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work, woodwork, Glass and Ceramic disciplines. Possess a sound knowledge of relevant Health & Safety legislation associated with operations within a workshop/laboratory environment. We are looking
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-listed candidates will be invited to complete a recorded video interview based on elements of the job description. Any questions? For informal enquiries, please contact Dr Chad McDonald (Senior Academic
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, and analysis and reporting of results. Day-to-day, the postholder will liaise with clubs and players, prepare supporting materials (e.g. presentations or videos), and manage data collection and analysis
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allowances: Living allowance of €4010/month corrected with the country factor of the recruiting institution Mobility allowance: of €710/month Family allowance of €660/month (if applicable) Special needs
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taking the lead, with research data collection and analysis, the development of training and the dissemination of findings to appropriate groups related to the project. This is a brilliant opportunity for
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delivering the project, contributing to day-to-day activities such as participant recruitment, data collection, experimental testing, and analysis of cerebrovascular and cognitive outcomes. The project team is
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to balance competing demands and manage expectations, bearing in mind the needs of the customer and operational priorities Experience in developing and operating successful information analysis operations in