224 data "https:" "https:" "https:" "https:" "UCL" "UCL" positions at King's College London
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enthusiasm for understanding and supporting the training and development needs of doctoral students. 5. Strong IT, numerical and analytical skills, able to adapt to new systems and draw insights from data
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teams on regulatory strategy and planning, quality system procedures, identifying gaps in project information and processes; recommending solutions, and be responsible for developing and maintaining
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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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development including CSS, JavaScript 5. Experience developing and supporting Tribal SITS eVision systems, using SRL and tasking 6. Good understanding of data and integration technologies (SQL
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“Data-driven design of organic mixed conductors”. Mixed ionic/electronic conducting materials are being developed for applications in bioelectronics, biosensing, energy storage and neuromorphic computing
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Project teams. Stakeholder Engagement and Communication: Serve as a liaison between stakeholders and management, ensuring timely updates and information sharing. Identify needs and expectations to improve
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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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-therapy. The post holder will work with single-cell transcriptomics data analysis to resolve lineage barcorded cells and reconstruct cell lineage trees and simultaneously profile gene expression. The post
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AI. 8. Excellent leadership, communication, and interpersonal skills. Desirable criteria 1. Familiarity with academic and administrative systems (e.g., student information systems, learning