211 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" Postdoctoral positions in United Kingdom
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Where to apply Website https://www.timeshighereducation.com/unijobs/listing/399542/post-doctoral-resea… Requirements Additional Information Work Location(s) Number of offers available1Company
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our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University Detailed Description This 12-month, full-time
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ranked 1st in the 2025 Times and Sunday Times Good University Guide, and 4th in the 2025 Complete University Guide. For more information, please visit our Department pages at https://www.durham.ac.uk
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. The project will involve theoretical or modelling work relating to high energy astrophysics and black hole accretion-powered outflows, using hydrodynamics codes, theoretical calculations and/or the Monte Carlo
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of accelerator physics modelling codes such as Accelerator Toolbox or ELEGANT would be an advantage. The post-holder will have the opportunity to teach. This may include lecturing, small group teaching, and
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-in-cell computer codes hosted on local and national high-performance computing clusters; establishing all-optical diagnostics to map temperature evolution in plasma accelerators; exploring novel inter
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep
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may be sought in advance of interview but only with the permission of the candidate. Confirmation of your right to live and work in the UK. *Non UK applicants can apply. Where a share code is provided
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Constrained experimental design Combining models and combining data / Realistic simulation of clinical trials Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality Generalisability