32 computational-physics "https:" "https:" "https:" "https:" "Caltech" scholarships 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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necessary. The successful applicant will work within a vibrant and multidisciplinary aerospace team in the College of Engineering and Physical Sciences at the University of Birmingham, and will have
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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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. 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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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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applicants from diverse subject backgrounds. Candidates with expertise in areas such as microbiology, molecular biology, or chemical/biochemical engineering (e.g. reactor or process engineering) are encouraged
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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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/new-cutting-edge-facility-creates-global-applied-research-opportunity https://gtr.ukri.org/projects?ref=EP%2FZ533300%2F1 https://www.birmingham.ac.uk/staff/profiles/physics/chung-mingee
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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