34 applied-linguistics-phd "EMBL" Postdoctoral positions at University of London in United Kingdom
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Department: School of Engineering and Materials Science Salary: £40,223 per annum (Grade 4) Reference: 2265 Location: Mile End Date posted: 9 May 2024 Closing date: 9 June 2024 Further details and
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at the PDRA level must have a PhD in Computer Science or a related field. Candidates must have substantial knowledge in Deep/Machine Learning, Large Language Models (LLMs) Natural Language Processing and
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apply Overview About the Role Applications are sought for a Postdoctoral Research Assistant to join Professor Michelangelo Campanella’s research group in the Centre for Clinical Pharmacology
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related. Experience of code development in a major programming language (such as C, C++ or Java) is essential. Experience of phylogenetics software development, use of high-performance computing
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involves working closely with team members with different research expertise, and also supervising current PhD students in the group. About You Candidates should have a PhD in mechanical engineering
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details and apply Overview About the Role A Postdoctoral Research Assistant position is available at Queen Mary University of London (QMUL) to work with Prof Stephen Rossiter. The position is funded on a
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details and apply Overview About the Role A Postdoctoral Research Assistant is being recruited to work with Dr Thomas Haworth on the impact of star forming environment on planet formation. The goal will be
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June 2024 Further details and apply Overview About the Role Applications are invited for a Postdoctoral Researcher to join the Translational Lymphoma Research group of Professor Jessica Okosun. Our lab
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details and apply Overview About the Role This research post will be for a fixed-term duration of 3.5 years. The postholder will develop multi-modal artificial intelligence (AI) tools using cardiovascular
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details and apply Overview About the Role A Postdoctoral Research Assistant is being recruited to work with Dr Thomas Haworth. A key science goal is to develop emission line diagnostics that will enable