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for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or nearing completion) Good knowledge of computer vision algorithms for image and video
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for edcuation on an equivalent basis. Minimum Required Education: PhD or equivalent degree in a scientific field, or MS with >5 years experience in imaging research and multimodality scanner operation Minimum
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following skills and experience: Essential criteria PhD qualified in relevant subject area (or nearing completion) Good knowledge of computer vision algorithms for image and video processing Strong experience
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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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scientists dedicated to advancing medical imaging research. The primary focus of our group’s endeavors is quantitative image analysis and artificial intelligence (AI), with a specific emphasis on pioneering AI
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single-molecule, microfluidics, super-resolution techniques, and chemical/synthetic biology tools. PhD project: High Resolution Fluorescence Imaging of Protein Plasticity We are now seeking a PhD student
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candidate will have a strong background in biomedical imaging and/or neuroimaging, including domains of physiological/metabolic/molecular imaging, computational image processing, or imaging hardware and
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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/Qualifications Who you are You have a Professional Master’s degree or PhD in electrical/software engineering or equivalent through experience. You have 3-5 years of experience in computer vision and image
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London, with a team of investigators covering AI, computer vision, robotics, and medical imaging. You will join a dynamic and successful team with access to both cutting-edge computer power and advanced