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skills and experience: Essential criteria PhD awarded in Computational Linguistics, Natural Language Processing, or a closely related field or PhD near completion in Computational Linguistics, Natural
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Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed to train tomorrow’s leaders in earth and environmental science. For further details about
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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exciting opportunity for a PhD candidate interested in ecological modelling applied to the interface between conservation and agriculture. The candidate will develop skills in experimental design
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This PhD project is in a competition for a Faculty of Science funded studentship. Funding is available to UK applicants and comprises ‘home’ tuition fees and an annual stipend for 3 years.
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-temperature reactor technology; experience in developing mathematical, numerical and computational models; the ability to work as part of a team with excellent communication skills. Appointment at Research Associate
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applicants with previous training in ecology, agriculture or computer science. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self
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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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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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College of Chemistry and Molecular Engineering, Peking University | Cambridge, England | United Kingdom | 8 days ago
of Psychiatry and MRC Cognition and Brain Sciences Unit (MRC CBU), funded by the Templeton World Charity Foundation. This project will involve working closely with other lab members and collaborators across