25 computing-"https:" "https:" "https:" "Universitätsklinikum Hamburg Eppendorf" PhD positions at University of Birmingham
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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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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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systems and tools to respond using an ‘all hazards’ approach. For more information, please see: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency
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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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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
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, Criminology, Social Policy, Computer Science/Mathematics. An MSc degree in a relevant area is desirable though not necessary. Previous experience with quantitative and qualitative data, particularly within a