27 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" PhD positions at University of Birmingham in United Kingdom
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for emergency response coordination. The work aligns with the UK Government Resilience Action Plan which recognises that the UK cannot perfectly predict how risks will unfold, and across all risks requires common
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applicable across emergency preparedness and response settings. For more information, please see: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency
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. The Materials for eXtremes (M4X) research group (https://more.bham.ac.uk/M4X/ ) investigates new alloys for extreme environments from fusion & fission reactors, to aerospace gas turbines and concentrated solar
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respond to aerodynamic loads in real time, mimicking avian flight. You will adopt an integrated computational–experimental approach, including CAD for structural design, aeroelasticity modelling of aircraft
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information, please see here: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency-preparedness-and-response Supervision team: Dmitri Nepogodiev (Associate
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, eligibility is restricted to UK nationals. Informal enquiries are encouraged and should be directed to: Dr Richard Horniblow, r.horniblow@bham.ac.uk https://www.engineered-microbiome.co.uk/
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Programme grant can be found at https://oncoeng.org/ Funding notes: The PhD project is funded through a University of Birmingham, School of Engineering PhD scholarship which provides maintenance
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have partnered with AWE to fund a 4-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in oxide scintillators. We will
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candidates with an exceptional track record may also be considered. For further information and guidance, please contact Dr Mingee Chung at m.chung@bham.ac.uk References: https://www.birmingham.ac.uk/news/2024
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and