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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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). About you The post will require a motivated researcher with experience in image-based modelling of flow or biomechanics, from segmenting the images to performing CFD/FEM analysis. You will have a PhD and
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translation of innovative miniature, hair-thin imaging devices we have previously developed [https://doi.org/10.1117/1.JBO.29.2.026002]. These devices are designed to enable early and accurate detection
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to develop magnetic resonance imaging (MRI) methods to advance electrochemical flow technologies, which are emerging as promising more-sustainable solutions for the global challenges of energy storage
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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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those leading to dementia and neuroinflammation. We have a strong focus on mechanistic dissection of genetic, molecular cellular and neuropathological processes which underlie across the neurodegeneration
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exciting research projects in order to gain a higher research degree (MDres or PhD). The successful applicants will undertake research, under the supervision of Dr Gherardo Finocchiaro, Prof Sanjay Sharma
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We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision