462 postdoc-computational-fluid-dynamics-2017 Postdoctoral positions in United Kingdom
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Full-time: 35 hours per week Fixed-term: 31st March 2026 The School of Informatics at the University of Edinburgh invites applications for 2 Post-doctoral Researcher positions in Quantum Machine
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analysis will include legal doctrinal and empirical (i.e. legal computational and qualitative) methods that are specifically designed to capture and interpret internal (i.e. legal) and external (i.e
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for Quantum Enabled Position Navigation and Timing (QEPNT), part of the UK’s flagship National Quantum Technology Programme. Working with Dr Kevin Gallacher and Professors Marc Sorel and Douglas Paul, the focus
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group. The positions are associated with a new five-year Programme Grant on "Quantum Many-Body Physics with Ultracold Polar Molecules" funded by UK Research and Innovation (UKRI). The research builds upon
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About the role We are excited to welcome a curious, dedicated, and collaborative Post Doctoral Research Associate to join a dynamic, UKRI-MRC funded project exploring how the respiratory microbiome
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public bodies and are seconded to national and international organisations, helping to shape policy and practice nationally and internationally. About the role We are seeking two dynamic researchers
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors, and more than 4 500 other faculty and staff working on our dynamic campus in
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to lead projects aimed at developing a full-stack approach to suppressing errors in quantum hardware. This research focuses on achieving practical quantum computation by integrating techniques ranging from
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United Kingdom Application Deadline 12 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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analysis will include legal doctrinal and empirical (i.e. legal computational and qualitative) methods that are specifically designed to capture and interpret internal (i.e. legal) and external (i.e