12 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" research jobs at UNIVERSITY OF SURREY in United Kingdom
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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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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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Faith Gibson. The James Lind Alliance Teenage and Young Adult Cancer Priority Setting Partnership (PSP) research priorities were published in 2018 (final report available from: https://www.jla.nihr.ac.uk
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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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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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on the programme. How to apply Please apply on the University website with your CV and a cover letter. For informal enquiries please contact Dr Mahdi Boloursaz Mashhadi m.boloursazmashhadi@surrey.ac.uk . Please note
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cover letter via the University of Surrey’s online recruitment system. Shortlisted candidates will be invited to interview via MS Teams. Informal enquiries about the role are welcome. Please contact Dr
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the University of Surrey . The position is funded by an EPSRC grant APP39869: Multi-stack tubular solid oxide steam electrolyser (METASIS 2.0). The project will be led by Dr Bahman Horri in collaboration with
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partner organisations based in London and East Sussex. The successful candidate will work directly with the programme lead, Dr Cassie M Hazell, and will be based at the Guildford campus, University
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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