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CE Instructor (Construction Trades) DIS - req13855 Posting closes on: 12/8/2026 at 6:00pm CST This position is part-time and temporary - not eligible for benefits This position is revenue-funded
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institution and be part of our mission to advance science for humanity. • Build your profile in the international research community by becoming an active part of one of the leading research groups in Applied
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-leading institution and be part of our mission to continue science for humanity. • Build your profile in the international research community by becoming an active part of one of the leading research groups
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) — at an early stage. We are not an established engineering org, so you’d help build our empirical research capability essentially from scratch. Minimum qualifications Mathematical background sufficient to rapidly
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and mentor PhD students and junior researchers. - Secure external research funding and build productive collaborations within and beyond Imperial. - Play an active role in the life and strategic
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research will develop and apply novel Bayesian machine learning methods – in particular physics-informed Gaussian processes and/or neural operators– to build accurate probability density functions (PDFs
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that explain how representations emerge, specialize, and generalize under different training regimes. The broader goal is to build a theory that is: mathematically tractable and interpretable, empirically
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external research funding and build productive collaborations within and beyond Imperial. - Play an active role in the life and strategic development of the Department and the wider Faculty. - Serve as a
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the research and goals of other members and help to make the Institute superadditive. • Socialise with our scientists, staff and visitors at our weekly drinks and regular events. Candidate Candidates should have
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will commence operations in 2025. The team will work from a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the-art facility will include