347 parallel-computing-numerical-methods positions at KINGS COLLEGE LONDON in United Kingdom
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sitting within a leading programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre
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Sciences (NMES), a vibrant faculty based in the heart of London with a long tradition of world-leading research and teaching in physics, mathematics, chemistry, informatics and engineering. About the role
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research programme, the first of its kind in the world, supported by Inkfish with £35M core funds over six years, starting in April 2025. It is a global study of 60,000 participants, including 20,000 mothers
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About us: We are a team of Business Analysts based within Digital Solutions in the IT Directorate at King’s. We are a vertical team working across multiple agile teams and Agile Release Trains to deliver IT change in a scaled agile environment. We work together to mature our service and develop...
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research programme, the first of its kind in the world, supported by Inkfish with £35M core funds over six years, starting in April 2025. It is a global study of 60,000 participants, including 20,000 mothers
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are robust, effective, and aligned with best practice. You will also manage contracts for occupational health services, the employee assistance programme, and DSE case management—building strong relationships
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capital investment programme. Based within the Estates Planning & Development (EPD) team, the post holder will be responsible for coordinating project controls, governance documentation, and performance
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team designed to support the wider Academic Skills programme, as well as deliver provision to international students in at least 4 of King’s faculties. The Academic Skills tutor plays a pivotal role in
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manner. You will also provide an assurance function, working with Project and Programme Managers to implement and improve project and programme standards and processes, and prepare and facilitate regular
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experience of successful prospect research within academia or not-for-profit sector Experience and understanding of data analysis, statistical methods and prospect management techniques to support