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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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distribution components and systems; Electric propulsions systems for land, sea and air; Wide bandgap solid-state protective devices. Sustainable Infrastructure Engineering & Maintenance: Construction technology
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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methods will be used to close the complexity gap. Applicants will have outstanding achievements or show promise in any area of theoretical solid-state physics, including but not limited to modeling
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of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling
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, disability, gender, marital status, parental status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including
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important topic of healthy aging. By 2030 it is estimated that 17% of the global population will be over the age of 65, which is expected to double by 2050. Ageing is accompanied by structural and functional
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and structural biology of rhomboid-like membrane proteins. You should hold a PhD/DPhil in a topic relevant to structural biology and biochemistry, together with relevant experience. You should be able
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quantum systems. The use of molecules is motivated by their rich internal structure, combined with the existence of controllable long-range dipole-dipole interactions, long trap lifetimes and strong
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to DNA damage-induced transcription stress. This post is fixed term for 3 years. What are you going to do? In this fully-funded project, you will: • employ advanced biophysical instrumentation