40 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P"-"U.S"-"PDI-Service" positions at University of Manchester
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the National Centre for Text Mining (NaCTeM), a leading UK research hub for biomedical text mining and natural language processing, and forms part of the BHF CRE. This position focuses on advancing large
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and ML techniques). We need to use large language model for an automatic design of the tower. We target to develop an AI-driven assistant ("AI-Copilot") to automate the complex design and analysis
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Operating Procedures and the Human Tissue Authority (HTA). The successful candidate must be qualified at QCF level 6 in a relevant biological science or QCF level 2 passes in English and Maths and at least
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to find out more about each of the studentships and scholarships available in the Faculty. Specified use 1+3 - covering a full Masters and PhD programme 1+4 - covering a full Masters and PhD programme
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- covering a full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 3.5 years full-time or 7 years part-time
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screening methods. High level of English communication, both oral and written, is required. The start date is 3rd November 2025, or as soon as possible thereafter, and the position is available for one year
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Type of award Scholarship Managing department Faculty of Science and Engineering Value The four-year funded A*STAR PhD programme at Manchester enables postgraduate researchers in science and
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-edge techniques using RO-Crate, natural language processing, and synthetic data. You’ll act as senior product owner for RO-Crate metadata across six early adopter teams, guiding technical development and
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fees for the period of the relevant programme as outlined in the offer letter (usually three years). CSC will provide living allowances as prescribed by the Chinese Government, and will cover the round
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interventions. Support all other themes with analytical infrastructure. Computational Modelling, Simulation and Large Language Models (CMSL) Focus: In silico trials, AI, and digital twins for cardiovascular