12 web-programmer-developer-"St"-"UCL"-"St" Fellowship research jobs at QUEENS UNIVERSITY BELFAST
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30 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Application Deadline 27 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Deadline 13 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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United Kingdom Application Deadline 20 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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We seek to appoint a highly motivated postdoctoral research fellow to primarily contribute to our research development of AI Models for Autonomous Vehicles, as well as other relevant research
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. Therefore, the appointee will have a unique opportunity to develop their professional skills and build strong collaborations within industry and academia. QUB also hosts some of the most advanced AI computing
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the development, planning and delivery of the research activity. The post is a critical role, and as such, successful applicants will have responsibilities in conducting systematic reviews, organising key
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United Kingdom Application Deadline 21 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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science. A proven track record of relevant analyses and interpretation of scientific data. Working effectively as part of a research team in the development and promotion of the research theme. Publication
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. This interdisciplinary collaboration with the University of Lincoln and University of Liverpool focuses on developing innovative computational approaches that integrate advanced genomic analysis with state-of-the-art