214 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Bristol" positions at King's College London
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brings together researchers working at the intersection of technology and society. This role sits within Dr Petr Slovak's research group, which focuses on human-computer interaction and digital mental
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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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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. At King’s, we believe that the diversity of our community and a culture that is welcoming, open
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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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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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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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details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what
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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