25 computer-science Postdoctoral research jobs at University of Liverpool in United Kingdom
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be about to obtain) in areas relevant to this post (e.g. computer science, engineering, statistics, and mathematics etc.) Any applicants who are still awaiting their PhD to be awarded should be aware
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An opportunity to lead work on materials design and discovery for an exceptional researcher with experience in developing and applying computational chemistry tools to materials science. This
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We are looking for a passionate scientist with a technical background (in engineering, computer science or physics) and an interest in biological applications, to work on the EPSRC-sponsored project
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have a PhD in Electronic Engineering, Computer Science, Statistics, Applied Mathematics, Physics or another relevant discipline. This post is fixed term for 3 years. Any applicants who are still awaiting
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We are seeking to recruit an individual to Join the prestigious Signal Processing Group at the University of Liverpool as a Senior Postdoctoral Research Associate, in Data Fusion. In this role, you will take the lead in addressing complex data fusion challenges through innovative research....
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We are seeking a researcher to join the Flight Science and Technology research group to support and lead activities in the computational aerodynamic analysis of a modern warship design. This will
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website to verify the effectiveness of the framework. You will have a PhD in a relevant computer science and engineering discipline (e.g., Computer Vision, Artificial Intelligence, etc.). This post is
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The University of Liverpool invites applications for the position of Postdoctoral Research Associate in Engineering Seismology to work on the multi-institution inter-disciplinary project SeisGreen
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science. This position forms part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of
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skills, and a PhD in Engineering, Mathematics, or Computer Science are sought. The main aim of the work is to demonstrate the use of Uncertainty Quantification in developing and using non-deterministic