225 data-"https:" "https:" "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" positions at King's College London
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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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AI. 8. Excellent leadership, communication, and interpersonal skills. Desirable criteria 1. Familiarity with academic and administrative systems (e.g., student information systems, learning
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the operational HUB ensuring the systems continuously meet safety and regulatory standards. The Supervisor will provide real-time data analysis, proactive maintenance, and rapid report responses to system alerts
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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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to appoint a highly motivated and experienced postdoctoral research associate in computational materials chemistry. The position is funded by the EPSRC project “Data-driven design of organic mixed conductors