27 evolution "https:" "https:" "https:" "https:" "https:" "University of St" "St" research jobs at UNIVERSITY OF SURREY
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process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in
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. Expertise in artificial intelligence and machine learning. Recent research experience in the development of first-principle wave models. Recent research experience in the development of numerical codes
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development of our work within the Homeless sector. This post is crucial to the programme being able to build the evidence of the impact of providing training placements for clinical psychologists within
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Experimental systems development, e.g., integrating interactive/game-engine/real-time audio systems, spatial audio toolkits/middleware Useful background includes sound design, music technology, expressive speech
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interviews are scheduled for week commencing 23 February. Further details Job Description Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406518/awe-research-fellow… Requirements
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, organising, and maintaining accurate records of all datasets associated with the research. Training of artificial intelligence models, contributing to the development of automated systems for detecting signs
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The clinical psychology programme team is looking to employ a full time Research Assistant from March 2026 to September 2027 to support the development of our work within the Homeless sector
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development, including dataset curation, documentation, and reproducible research workflows. This is a part time role working 14.4 hours/week. About you The candidates will need to have: A degree in Engineering
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. For an informal discussion regarding this post, please contact Prof Sabine Braun, Director of CTS by email (s.braun@surrey.ac.uk ). Further details Job Description Where to apply Website https
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approached by tools in both computational chemistry and applied mathematics. Specifically, the project involves the development of mathematical modeling strategies at both numerical and analytical level to