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Full-time: 35 hours per week Fixed term: 26 months The Opportunity: To collect and analyse cognitive and neuroimaging data from the UKRI MRC-funded PREterm Neurodevelopment and COGnition study
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2029. About you Essential criteria PhD in developmental cognitive computational science, neuroscience, computer science, or related disciplines*. Previous experience in social cognitive research
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. • Knowledge, experience, and technical proficiency in working with rodent animal models, with a good working knowledge of ASPA [Animals (Scientific Procedures Act) 1986] and in possession of a personal home
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Machine Intelligence and Decision Systems (MInDS) group led by Dr Anthony Constantinou, and the Antennas & Electromagnetics group led by Prof Akram Alomainy. The project is funded by the Defence Science and
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applied to biology (or allied fields like neuroscience and medicine) the ability to work effectively in a multi-disciplinary team a publication record and experience of presenting at conferences knowledge
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Computer Science or a related topic. Applicants at the PDRA level must have a PhD in NLP or machine learning. Substantial knowledge of Natural Language Processing (NLP) and machine learning methods is essential, as
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of language, epistemology, metaethics, metaphysics, conceptual engineering, philosophical methodology Teaching experience Excellent knowledge of English (C1) Knowledge of German or willingness to acquire
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learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out
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(within five years) in biotechnology, molecular biology, biochemistry, or a related field. The candidate should have sound knowledge and skills in molecular biology, including knowhow on relevant methods
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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
recommendations for the effective adoption of these solutions. You should possess a relevant PhD/DPhil (e.g. in Design, Business, Engineering or a related discipline) and sufficient specialist knowledge in