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. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus. You will join an interdisciplinary team of researchers spanning imaging science, machine learning
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to both contribute to new advances in a field with real world applications. Your research focus will be on challenges related to computer vision for geophysical image data. You will investigate and develop
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analysis in cleared tissues Working knowledge of image analysis and automation is welcome Examples: Fiji ImageJ, Python for batch processing, napari, basic ML or deep learning toolchains Advantageous but not
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. Assist radiologist with procedure protocoling and performance. Start I.V.s, administer contrast media as directed and per protocol. Evaluate MR scans for technical quality, collate processed images and
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, Data Entry and other administrative duties. Required License/Registration/Certification Physical Requirements Sitting and a computer work station for long periods of time Standing for long periods
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implementation of new research ideas. Job Requirements: Preferably bachelor’s degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a closely related discipline. Strong
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pathologists and researchers to interact with complex image analysis algorithms Translate computer vision and deep learning models into reliable, well-documented production tools Develop and maintain APIs, web
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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and
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intelligence and machine learning tools. 1. S. M. Chavali, J. Roller, M. Dagenais and B. H. Hamadani, Sol. Eng. Mater. Sol. Cells, 236, 111543 (2022). 2. B. H. Hamadani, Appl. Phys. Lett., 117, 043904 (2020
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medical datasets, particularly images and texts, as well as tabular and higher-dimensional data Testing, implementation, and benchmarking of new research methods Development of machine learning approaches