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Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Reference Number 101226717 Is the Job related to staff position within a Research Infrastructure? No Offer
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Develop an active learning-driven platform for compound selection and optimisation Integrate robotic sample preparation, automated data acquisition, and computational analysis Advance five existing
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candidate would have experience with computational modelling and control of dynamical systems. Other useful skills include scientific programming (e.g., Python or Matlab), control system design, and
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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. Desirable Prior Experience Previous experience working in the field of microbial genomics, bioinformatics or computational biology would be desirable How to apply This project is offered as part of the Centre
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This post is full time and open ended with funding available for up until 36 months from the start date. We are seeking to appoint a Research Assistant/Associate to contribute to/to lead a project
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project aims to develop state-of-the-art computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the
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of materials. Applicants should be self-motivated, able to take ownership of their research, and effectively communicate their research findings. Training in all the computational and experimental methods will
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scintillators to X-rays and gamma rays using radioisotopes and X-ray generators. The student will be registered on the Physics PhD program; however, the nature of this research project is highly multi