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Field
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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
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soft materials for microscopy imaging, and operating transmission electron microscope and atomic force microscope. This position will be expected to conduct data analysis, prepare publications, and
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Python and GEE for geospatial analysis and data science. Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. A track record of first
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including, but not limited to, tuition benefits (employee and dependent), comprehensive insurance coverage including medical, dental, vision, life insurance, and short and long term disability as
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advanced technologies and infrastructure to research solutions and to transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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at the Division of Materials and Manufacture, which belong to the Department of Industrial and Materials Science. The Department of Industrial and Materials Science shares knowledge and their vision of technical
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). Prior experience in medical imaging & analysis and/or computer vision algorithm development using high performance computing (HPC). Publications in peer-reviewed technical/clinical journals or machine
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belong to the Department of Industrial and Materials Science. The Department of Industrial and Materials Science shares knowledge and their vision of technical solutions for the future industry in a
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confocal imaging, brain slice electrophysiology, in vivo manipulations, molecular biology, drug discovery and behavioral analysis. Applies genetic mouse models. Conducts experiments, analysis, preparation