216 data-"https:"-"https:"-"https:"-"https:"-"M.V" positions at King's College London
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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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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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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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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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clinical study. The post holder will hold a doctoral degree or equivalent in an addiction related topic and need to have expertise in working with data from the National Drug Treatment Monitoring System
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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
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engagement throughout the process. Our team strives to deliver a data- and evidence-driven provision. Work-Related Learning is now an established offering for our students, and the next phase focuses
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, speech AI) and NHS medical record linkage. All data will be securely integrated and curated within the DATAMIND Trusted Research Environment, ensuring national and international impact. As a Lived
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charity to create a global centre of excellence for research, education, clinical care, and information. The Institute unites academics, healthcare professionals, community organisations, patients, and
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related topic and need to have expertise in working with data from the National Drug Treatment Monitoring System (NDTMS), working with government and expertise in quantitative prediction modelling