169 computer-security "https:" "https:" "https:" "UCL" positions at King's College London
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elements of the programme (including dissertation supervision, personal tutor support to a group of students each year and attending exam board meetings as required). The post holder will contribute
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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& Participation Plan. This includes oversight of evaluation to monitor programme effectiveness and associated governance Line management of Widening Participation practitioners and directing the planning and
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to secure the best possible service, pricing, and value from suppliers, ensuring that all purchasing activity aligns with organisational expectations and industry best practice. A major focus of the role is
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to contribute to work that supports student success and equity in higher education, and who wish to utilise their skills in project delivery, partnership working and programme coordination. We encourage
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Good computing skills Ability to work to clinical and scientific deadlines and to plan and prioritise workload Ability to work in a multidisciplinary team and without close supervision Desirable criteria
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professionals in supporting areas covering proposition development, supporter engagement, supporter operations and business operations. We have an impressive, well-established track record of success in securing
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parental leave, menopausal support, an active wellbeing programme, training and development opportunities and much more. All of our staff benefit from a generous pension contribution as well. As part of
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strategy and service transformation programme currently underway at King’s and embracing opportunities to contribute in different ways. This is a part time (17.5 hours per week) post, offered
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qualified in computer science, mathematics, physics or similar disciplines * Demonstrated expertise in artificial intelligence, machine learning, deep learning, and data mining methods and algorithms Proven