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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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The Biomedical and Astronomical Signal Processing (BASP ) laboratory at Heriot-Watt University Edinburgh (HWU ), headed by Professor Yves Wiaux, is recruiting a postdoctoral researcher in computational imaging
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: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering
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-generation platform for cancer surgery, which not only removes tumour tissues, but also creates a cellular-resolution phenotypic map of the disease in real time. Together with intraoperative imaging tools
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COVID-19 on these processes. This project is part of the Brain Health in Gen2020 programme, and will aim to characterise the cell behaviour of early human cortical progenitors and the effect of COVID-19
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control of image illumination/acquisition and stage movement systems. Processing and analysis of data from the above. Interacting with commercial collaborator for the translation of concepts to applied
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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system, including a suitable camera and an embedded system, will enable real-time acquisition of images of the tube carriage, from the side of the carriage, and subsequent image processing algorithms
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. This includes the use of multimodal imaging techniques, such as computer vision and hyperspectral imaging, alongside Internet of Things sensors that will continuously monitor critical parameters such as
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collaboration with Industry to develop a prototype gas adsorption rig for CO2 capture applications. About the role The post holder will develop a prototype adsorption-based system for CO2 capture. The candidate