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the lunar farside. The successful candidate will contribute to the development and scientific programme of the Lunar Farside Technosignature and Transients Telescope (LFT3; https://lft3.space). Lunar Farside
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and outstanding education are interlinked and equally valued. We are seeking to appoint a Postdoctoral Researcher in Computational Materials Modelling to join the Multiscale Materials Modelling Group in
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). You will work with the Principal Investigator (Prof. James Lea) to agree a programme of work that both delivers project aims and draws on your strengths. There will also be opportunities to pursue your
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Mar 2026 - 17:00 (Europe/London) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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is recruiting a large multi-disciplinary team of postdoctoral researchers for the development of advanced computational imaging techniques and their cutting-edge applications in radio astronomy, space
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Deadline 15 Mar 2026 - 17:00 (Europe/London) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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for defossilising chemical manufacturing. The position sits within the Centre¿s Moonshot programme, focused on ambitious new approaches to sustainable chemical production. The post is offered on a fixed term basis up
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for defossilising chemical manufacturing. The position sits within the Centre’s Moonshot programme, focused on ambitious new approaches to sustainable chemical production. The post is offered on a fixed term basis
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To apply for this role please submit the following document(s): CV Supporting Statement (Your Supporting Statement should be no more than 1000 words and should outline how your skills and experience meet the essential and desirable criteria listed above) You can view your progress and...
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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data. The successful candidate will contribute to understanding how modern machine learning models...