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partners. A good working knowledge of programming tools like MATLAB or Python, and familiarity with aircraft systems modelling, artificial intelligence applications, and simulation tools will be highly
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to predict dormancy break. You will be part of a multidisciplinary academic and industry team of plant molecular biologists, geneticists, postharvest physiologists, agronomists, bioinformaticians, and
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to join our dynamic team in addressing the crucial challenge of recovering resources from waste. The successful candidate will play a pivotal role in a high-profile European project (OLinWASTE
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dedicated Research Fellow to join our dynamic team in addressing the crucial challenge of recovering resources from waste. The successful candidate will play a pivotal role in a high-profile European project
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, mechanical engineering, or related subject with a record of publishing in high-quality journals. Good skills in applied Computational Fluid Dynamics (CFD) methods and proven experience of leading research
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dynamic and professional team, are invited to apply. Ability to prioritise tasks, work under pressure and strict deadlines to meet key milestones whilst ensuring excellent verbal, written communication and