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computational methods can direct synthetic strategies, identify new candidate materials, and rationalise observations, ultimately contributing to improved material performance. A PhD in Chemistry, Materials
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, Bioinformatics, Computer Science or a related relevant area. You should have excellent programming skills and experience of research in computational and/or structural biology. The post is available from September
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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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preclinical models. You will play a critical part in this larger research programme by supporting ongoing experiments and conducting your own experiments. You will learn new skills and research techniques from
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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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The Engineering Biomechanics Group seeks to appoint a research assistant to support its research activities in ocular biomechanics and topography. Candidates are expected to have a range of skills
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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 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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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....