211 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Universidade de Coimbra" positions at KINGS 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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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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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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responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research
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Proficiency in commonly used office software (such as Microsoft Word, Excel, Teams, SharePoint and Outlook or equivalent), with the ability to produce accurate documents and manage data effectively. Numeracy
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trials portfolios of the partner organisations including the EDGE system and ensuring information added is quality checked To ensure that trials metrics are collected to permit tracking of milestones
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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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effective service. Experience of coordinating budgetary and financial processes with strong numeracy and data analysis skills Experience of supporting HR operations, including coordinating recruitment
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the university on request for quotations and tendering activity through our e-tendering system (In-Tend), deal promptly with communications, analyse supplier spend data, support the requisition process on
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modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial transcriptomics, proteomics, metabolomics, and metallomics data. Using advanced techniques