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Field
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ideal candidate is highly organised and detail-oriented. They should have proven experience in microfluidic systems, tissue engineering, or related fields. Strong research skills with the ability
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Physics, Environmental Engineering, or a related field, and strong quantitative and analytical skills. You will gain experience contributing to an international research consortium funded by ARPA-H, engage
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neuroscience, cardiovascular neurophysiology, and neural computation. Researchers have access to state of the art facilities (https://www.ucl.ac.uk/science-technology-platforms/ ) and the department has close
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, engineering, and related fields. Research Themes: Your research plans should align with one or more of our strategic themes: Vascular Ageing and Clinical Outcome Tackling Arrhythmias and Myocardial Disease Data
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Physics, Environmental Engineering, or a related field, and strong quantitative and analytical skills. You will gain experience contributing to an international research consortium funded by ARPA-H, engage
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engineering, architecture, and policy. This post is funded until 31/10/2026 in the first instance. About you You will have specialist expertise in data linkage and information governance. You will have ability
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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congenital cardiovascular magnetic resonance imaging under the supervision of Dr Kuberan Pushparajah and Dr Alessandra Frigiola within the Department of Cardiovascular Imaging, School of Biomedical Engineering
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a Research Infrastructure? No Offer Description Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield
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Harvard University, USA. The ideal candidate is highly organised and detail-oriented. They should have proven experience in microfluidic systems, tissue engineering, or related fields. Strong research