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Field
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able to plan and conduct your own work independently, whilst also being able to build relationships and collaborate with others. A PhD (or near to completion) in human metabolic physiology, nutrition
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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for this position, please apply online and attach your resume and a separate cover letter that outlines how you meet the selection criteria below Selection Criteria A PhD in Physics, Astrophysics, or Mathematical
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: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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(hiPSCs), cardiomyocytes, metabolism About the project We are recruiting a postdoc (established or newly graduated from their PhD) who has an exceptional ‘can-do’ attitude, with drive and enthusiasm to push
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-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We are seeking a Senior
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-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We are seeking a Senior
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translation of innovative miniature, hair-thin imaging devices we have previously developed (doi.org/10.1117/1.JBO.29.2.026002 ). These devices are designed to enable early and accurate detection of cancerous
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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, expert collaborators, international conference travel, and support for professional development. The position is based at the University of Nottingham, a recognised centre of excellence in optical imaging