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Job Summary – Good quality, functional learning spaces are essential to ensuring the best learning and teaching experience for our students and staff. This role will assist learning space programmes
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on the project can be found here: https://hecustom.eu/ This post will contribute to the creation and validation of a digital twin (with biological bone models) to assess and interrogate the issue of
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computing, human–computer interaction, software and hardware development, machine learning, public interest technologies, digital literacy, sensors, networks, or other EPSRC-relevant technologies. One week
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research and support the development and learning of the scientists & engineers of tomorrow? If you are, we would love to hear from you. You will provide essential specialist technical support to researchers
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focus on delivering quality teaching and learning and a campus-wide focus on providing a sector-leading student experience. As a culturally rich university with a deep commitment to the public good
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welcome). Further information on this role can be found at https://exetermathematicsschool.ac.uk/life-at-ems/work-with-us/ . Applications to be returned to jobs@exeterms.ac.uk
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experience. You will bring experience in: Computer vision and machine learning: developing, training, evaluating, and deploying computer vision models. Data visualisation and analytics: turning complex data
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in Europe devoted to the study and prevention of mental illness and brain disease. The IoPPN pioneers research into new and improved ways of understanding and treating mental ill health (http
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chemistry, from the use of advanced electronic structure methods to the development of dynamical approaches to study photochemical reactions, also including machine learning. The group is part of the Cluster
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time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages. 3 A flexible approach to working. 4 A commitment to support your health