61 computer-science-intern "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Bath
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from AI and machine learning to high-performance computing applications. As part of our newly formed Research Software Engineering Facility, you will: Lead and contribute to complex software development
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Machine Learning Research Group within the Department of Computer Science. Further information This post is a full time, fixed term contract for two years, with a potential extension to three years
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, environmental economics, green finance, ethical supply chains, and behavioural change. Digital and Technologies: AI and machine learning, cybersecurity, spatial intelligence, robotics, human-computer interaction
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relevant policy engagement networks and managing the fellowship alumni programme. In addition, the role will help with the development of new internal policy engagement coaching and training activities
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this strategic project, acting as champion for collaboration and innovation, and working closely with internal specialists and external partners. You will engage with colleagues who are providing expertise across
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undergraduate Sport and Exercise Science and Health and Exercise Science programmes. This will involve teaching small groups, lecturing, delivery of practical classes and supporting students on undergraduate
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, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equity and intersectionality receiving a
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to utilise your academic achievements in an industrial setting. By joining this multidisciplinary KTP between Green Britain Group and the Department of Chemical Engineering at the University of Bath
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stretch your skills and grow your confidence. The four roles are: Campus Events Intern (CET) Outreach Programmes Intern Student Recruitment Intern (SRT) Access & Participation Plan (APP) Impact Intern Each
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ionospheric radio science Demonstrated potential to publish in high-quality, peer-reviewed journals Further information This position is offered on a full time (36.5 hours per week) 12 month fixed term basis