201 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at King's College London
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(Violence, Health & Society) Consortium, a UK Prevention Research Partnership–funded initiative focused on reducing violence-related harms through high-quality data analysis and rapid evidence generation
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also manage projects, analyse data to identify opportunities, and showcase successes through compelling case studies and presentations. This is an exciting opportunity to shape the future of sustainable
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cybersecurity; post-quantum cryptography; secure quantum communication; quantum information theory; quantum channels; quantum computational complexity; quantum mathematical optimization; quantum AI/machine
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Foundation Trust, and South London and Maudsley NHS Foundation Trust. The post-holder will ensure adherence to approved protocols and undertake effective source data verification. The post-holder will ensure
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. The post-holder will ensure adherence to approved protocols and undertake effective source data verification. The post-holder will ensure that all activities are conducted in accordance with applicable
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complex regulations, processes and information in suitable formats for a variety of audiences. 5. Experience of accurately maintaining, auditing, and reporting on curriculum information, including
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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Student Knowledge & Information department brings together colleagues who are focussed on helping students to get the information they need quickly and easily and also to engage with their programme and
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to ensure data collection and analysis is conducted within timelines. The successful applicant must be able to work independently and collaboratively within a diverse broader research team. The project will
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surveillance, and will contribute to the development of novel approaches for managing confidential spatial health data, including differential privacy and other secure geospatial data protocols. This research