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Field
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Applications are invited to join an ERC-funded research programme in the laboratory of Dr Vinay Shukla. The position is part of the project BreathingUnderground, which explores how oxygen
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volume correlation processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background
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images; Adapt/Develop AI methods to identify faults and fractures in the images; Write papers (in English) describing the work aiming at top computer science and geosciences venues; Present the work
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KTH Royal Institute of Technology, Scool of Electrical Engineering and Computer Science Job description Cellular morphology reflects fundamental biological processes such as division
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Job Description LIFE SCIENCE IMAGING CENTER Research Assistant (25260649) The research assistant is expected to contribute/support cognitive neuroscience research on interdisciplinary projects
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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and enthusiastic individual who meets the following criteria: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
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Laboratory within the Department of Bioengineering, Faculty of Engineering, is seeking a short-term, full-time Research Assistant 2 to contribute to a research project titled Multiscale 3D Imaging of Bones