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an enhanced DBS/enhanced DBS with barred list check. Please note we will therefore be asking you to complete an enhanced DBS with barred list as part of the recruitment process for this role. Informal enquiries
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Physics Location: Bailrigg, Lancaster, UK Salary: £33,002 to £37,694 (Full-Time/Indefinite with End Date) Closing Date: Sunday 13 September 2026 Interview Date: Wednesday 30 September 2026
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professionals within the division and will acquire process, operational and general knowledge. This provides the perfect opportunity to identify how we can improve our processes and work more efficiently. You
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and reporting skills are essential. You will be familiar with the process of developing and deploying user-focused and innovative analytics solutions, including data transformation and visualisation
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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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and climate adaptation worldwide. Your research will develop and apply novel Bayesian machine learning methods – in particular physics-informed Gaussian processes and/or neural operators– to build
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across both faculties. The role is designed to support the PVC HMST and HoD/Ss in managing the people and staffing portfolio as well as overseeing physical resources, to include sustainability, equipment
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. This role requires an enhanced DBS/enhanced DBS with barred list check. Please note we will therefore be asking you to complete an enhanced DBS with barred list as part of the recruitment process for
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group and close partnership with Programme Leadership during the ongoing Curriculum Transformation Process. The post-holder is expected to demonstrate flexibility in teaching across an evolving portfolio
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conversation ([email protected]) To apply for the role, please complete the on-line application process on Stonefish. The closing date for applications is 17th August 2026, interview date 28th August