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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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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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proposals. Requirements Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science, Image Processing, Biomedical Engineering, or related fields will be considered for the position
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including pre-clinical studies, image-guided delivery, nucleic acid therapeutics, targeting and therapeutic aptamers/peptides, immunotherapy, RNA biology, nose-to-brain delivery, blood brain barrier targeting
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computational biology are particularly encouraged to apply; Knowledge of scientific background relevant to the research area; Original research published or under revision in a reputable journal; Good English
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the project leader, the Head of Unit or their delegates. Qualifications Applicants should: (a) have an honours degree in Computer Science, Information Security or a related discipline or an equivalent
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job Description FACULTY OF ARTS AND SOCIAL SCIENCES ACADEMY OF WELLNESS AND HUMAN
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high-performance 3T Magnetic Resonance Imaging (MRI) system that enables researchers to explore the structure and function of human brain. A high-performing computing server has been set up to support