275 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship research jobs in United Kingdom
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with local NHS Trusts, and is fully-registered by UKCRC (http://www.ukcrc-ctu.org.uk ). Our mission is to conduct high quality, high impact, multicentre trials to improve health and well-being. We
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advised that normally your references will be contacted prior to the interview. For more details and/or to apply on-line please access: https://jobs.nottingham.edu.cn/job/184375/ If you are unable to apply
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or lars.johanning@plymouth.ac.uk For more information on School of Engineering Computing and Mathematics please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be
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combined with AI-based modification on speech signals. The need is for a real-time system, so efficient coding is important. Key Responsibilities: Participate in and manage the research project with
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, AI-assisted explainability. The need is for a real-time system, so efficient coding is important. Key Responsibilities: Participate in and manage the research project with Principal Investigator (PI
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irradiated materials. This work will be under the supervision of Prof. Enrique Jimenez-Melero, UKAEA Joint Chair in Materials for Fusion (https://www.birmingham.ac.uk/staff/profiles/metallurgy/jimenez-melero
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research
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related field. You will bring strong analytical and coding skills, with an interest in developing robust, transparent methods and high‑quality research software. You are comfortable managing your own
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, including large-scale, anonymised or pseudonymised datasets Understanding of NHS data structures, clinical coding (ICD-10, SNOMED CT) and/or electronic health records Understanding of research data governance
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strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid