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, or equivalent in a relevant discipline (Animal Science/Agriculture with Animals Science/Veterinary Bioscience or other Biological Science) or a 2.2 alongside a relevant Master's degree with Merit, or potential
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Kamalan Jeevaratnam , Dr Bonn Lee and Dr Charlotte Edling Entry requirements Open to candidates who pay UK/home rate fees. See UKCISA for further information . Starting in January 2026. Later start dates
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, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and/or time series analysis is a plus. The position requires
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approach including empirical data analysis, experiments, and theoretical modelling to develop science-based management strategies for the restoration of woodland ecosystems. We will collect, and collate from
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machine learning (applied to spatiotemporal data). International and UK applicants are both eligible to apply. Sponsor: This scholarship is funded by the UK Engineering and Physical Sciences Research
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 2 months ago
diverse fields including engineering, environmental science, policy studies, and business to address complex decarbonisation challenges. Click Apply now for more information on our application process
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are looking for: A PhD (or have submitted your thesis before taking up the role) in Materials, Physics, Chemistry or a closely allied discipline Expertise in 4D-STEM data acquisition Expertise in cryogenic
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technology, including SuperMagdrive, operates using metallic propellant, offering density, integration, and safety advantages compared to conventional launcher propellants such as hydrazine. However, metal
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researchers at the CCGE, Oregon Health & Science University (OHSU), and the German Cancer Research Centre (DKFZ). This research is part of a Cancer Research UK International Alliance for Cancer Early Detection
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the recording of substrate-borne vibrations produced by earthworms (and other invertebrates) in situ. To fully exploit this emerging technology there is a need to unravel the meaning within the data. As such