578 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Universidade de Coimbra" uni jobs at University of Sheffield
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on AI / machine learning approaches, data integration, and evaluation protocols, ensuring alignment with OMAIB’s open research principles and deployment-centric focus. Contribute to the creation, curation
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templates, distributing information and taking notes at meetings including as part of the major incident response. Use and report on health and safety related data in relevant University systems. Maintain
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reputation for being the world-class solution provider in the field of AM. Develop a clear strategic plan of engagement/representation at relevant conferences and disseminate information about new technologies
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audiences Essential Application/interview Ability to coordinate information and liaise with a range of stakeholders, including academics, community groups, and partner organisations Essential Application
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and applications, responding to queries, collaborating closely with other Professional Service teams, contributing to the smooth set-up of successful research applications and maintaining data in
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an iterative approach where: Biomechanical Modelling: Data from observational and experimental work will inform and constrain comprehensive biomechanical models of nanostructure formation. These models will
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managed together. The challenge is to develop modelling approaches that can be applied across populations of structures. Instead of building a bespoke model for each asset, information can be intelligently
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leads and university central teams to ensure deadlines are met and to improve the student experience. This will require an ability to analyse and interpret data and to suggest creative approaches
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information and advice about how to tackle technical tasks, using in-depth knowledge of the University’s infrastructure. Maintain good relationships with contacts in departments to inform them about work being
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-supervise undergraduate research projects, including providing academic guidance on project design, data analysis, interpretation, and research communication. Contribute to quality assurance and enhancement