58 developer-"https:" "https:" "https:" "University of Aberdeen" research jobs at King's College London
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Classics Department is seeking to appoint an Early Career Development Fellow in Classics for a two-year period. The Fellow will conduct research, produce research publications, deliver teaching, and provide
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groundbreaking symbiosis of cutting-edge AI combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is
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at King’s College London within the Personalised Medicine team led by Dr Ahmad Al Khleifat. Our team currently include several staff and students and we have extensive experience in the development of genomic
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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& Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular
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. Fellowships provide a competitive salary and up to £30,000 in research expenses for 18–24 months, enabling fellows to establish a distinctive research programme and prepare competitive applications
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includes developing a novel approach for awake imaging, which may involve 8 weeks of training in the US. If you fulfil our essential criteria and are a dedicated researcher with enthusiasm for high-quality
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specific genes has enabled precision diagnosis and more recently the development of genetic therapies. However, we lack the imaging tools to understand how these mutations disrupt healthy brain development
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fundamental discovery to patient care. Our laboratory focuses on advanced label-free optical technologies for disease detection and characterisation. We develop fibre-optic and multimodal imaging systems
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, computer science, and the natural sciences to develop the conceptual and mathematical tools needed for the trustworthy deployment of AI agents in science. The project is based at the Egenis Centre for the Study of