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with quantum coherent electronic spins at room temperature. Now, we plan to transform the material system to platform for quantum technology, a coherent 2D spin-photon interface for networks and sensing
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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and women's health. We also have thriving research programmes
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methods, undertake genetic engineering of pathogenic fungi including Candida, Cryptococcus and Aspergillus species, and have experience of murine infection models. Please ensure you read the Job Description
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aims to provide mathematical models of decontamination processes and is funded by the Defence Science and Technology Laboratory (Dstl). The approach to mathematical modelling is multifaceted, with
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understanding of the current policy and academic debates related to the inclusion of newcomers at the local level in the UK. You will be able to equally balance these two aspects of the role, supporting applied
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skills and experience: Essential criteria PhD in the development of ultrasound drug treatments. MSc/MRes degree in relevant discipline (Pharmacology, Nanomedicine, Biomedical Engineering) Analytical
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for Translational Bioinformatics is a team of computational biologists, software engineers and data scientists located within the Digital Environment Research Institute (https://www.qmul.ac.uk/deri/) at Queen Mary
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targets for carbon dioxide sensing are mainly unknown. We have developed technology to identify carbon dioxide-binding proteins systematically. We propose investigating a newly identified carbon dioxide
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engineering of pathogenic fungi including Candida, Cryptococcus and Aspergillus species, and have experience of murine infection models. Please ensure you read the Job Description and Person Specification