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decision-making. Develop and implement technical and safety strategies aligned with organisational objectives. Manage departmental resources effectively, including budget planning, financial oversight, and
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be an experienced manager with a strong background in operational management, ideally within the higher education sector or a similar complex environment. You will bring: Significant experience
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Technology (FST). We are seeking an individual with leadership and management experience gained for example, as part of the senior management team of a Department or Faculty, to work and develop this new role
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of digital technologies used in teaching and learning across the University. This is an exciting opportunity to support the development of academic programmes from design through to evaluation, working
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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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-orientated individual with excellent general IT and administrative skills and have a good first level of education. This is a great opportunity if you already have experience in the hotel/hospitality industry
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with a proven ability to prioritise work and navigate time management, with excellent interpersonal communication skills, verbally and in writing. Educated to first degree level or equivalent in a
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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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: 0519-26 Please note: this job is only available to current employees of Lancaster University Flexible Working: Open to flexible working arrangements Are you a dedicated educational leader with a passion
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recognised internationally for excellence in education, research and engagement. Our collegiate culture, global partnerships and commitment to making a positive difference create an environment where ambitious