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disaster recovery planning. Develop and maintain KPIs and maturity roadmaps based on NIST or equivalent frameworks. Oversee cyber and information security assurance, operations, policies, and awareness
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and AI models for researchers in industry and academic institutions. The data and the development of AI within the platform, in partnership with clinical, academic and industry partners, will require
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. About you The successful candidate will have training in environmental science/engineering, water engineering, or equivalent subject, experience managing interdisciplinary research projects or large-scale
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and exam review looking at current approaches, identifying opportunities for improvement, and embedding timetabling within wider large-scale transformational institutional projects. You will drive
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, capable of managing a large and complex clinic team while balancing clinical, educational, and commercial priorities within a teaching practice. As Clinic Director, the Clinical Fellow will lead the Eye
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datasets, therefore, there will be a focus in the implementation of models for large volumes of data. The project will work in an exciting interface of statistics and machine learning and has the potential
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To provide technical and administrative support to ensure the smooth running of the University/School’s large hybrid computing platform and to assist in its development and expansion across multiple
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computationally demanding research. Join us and: Provide HPC & Cloud facilities and support the people who use them to: Run large- or small-scale simulations, data analyses and machine learning workloads Have the
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and data handling practices according to the highest standards. Being responsible for the day-to-day administrative duties and the recruitment of young people as participants, you will have excellent
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development within the non-profit sector, strong knowledge of project management tools, a belief in collaborative working, and a positive and big-picture outlook. They will play a key role in the alignment and