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, law, social science and the creative arts. You will be part of Edinburgh’s world-leading Applied and Computational Mathematics Group, providing a friendly and vibrant research environment. You will also
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academic excellence. Ready to be part of our team? Let’s shape the future together! About the team: Your future position is in the Research Group Scientific Computing at the Faculty of Computer
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researchers in the Future of Food programme at the Oxford Martin School. You must hold or be close to the completion of a doctoral degree in a relevant field (e.g. data science, industrial ecology, geography
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Application Deadline 16 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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on the Science Campus, a 10-minute walk away from Durham old town. The post is available for 2.5 years, including a 1-year probation period, ideally starting by March 2026 (although flexibility around this date is
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Liu. You will be a key member of the CDA Group, contributing to our development and the success of our mission. The core responsibility of this role is the development of multiscale computational models
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future tasks: Active participation in research, teaching & administration, which means: You plan and conduct your own research projects in the field of computer-assisted drug design. You publish your
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on the Science Campus, a 10-minute walk away from Durham old town. The post is available for 2.5 years, including a 1-year probation period, ideally starting by March 2026 (although flexibility around this date is
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) Country United Kingdom Application Deadline 24 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
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out research in cosmic microwave background physics or one or more of the following fields: cosmology, galaxy formation, numerical astrophysics, survey science tied to the up and coming large scale