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BBSRC Yorkshire Bioscience DLA Programme: How does Keratin switching enable regenerative cell recruitment to sites of injury? School of Biosciences PhD Research Project Competition Funded Students
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this position? Please contact Dr Jens Bunt. Jens will be happy to tell you more! Where to apply Website https://www.academictransfer.com/en/jobs/357450/phd-student-immune-landscape-an… Requirements
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imaging of energy storage materials, with the focus on detection of light elements and monitoring of electrochemical processes. The research will be conducted primarily at the accelerator facility
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and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Research Assistant to join the team and make significant contributions to the field
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computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer science, or mathematics (or a related field), with a focus on robot vision and control, image processing
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) techniques, especially to environmental data. Proficiency in remote sensing and geospatial data analysis. Expertise in computer vision and image analysis, particularly for drone or satellite imagery
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, MONAI) Strong interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not
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Learning and Computer Vision Objetives: This work aims to study, develop and implement computer vision methods to detect and classify areas with imaging alterations from MRI and CT scans
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include a PhD or equivalent, and postdoctoral research fellowship experiences. The selected applicant will be a recognized leader in the field of cancer immunology and will have expertise in
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any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images