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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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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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, 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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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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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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publications in peer-reviewed journals. Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information
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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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to establish the foundation for functional retinal imaging based on the dynamics of molecular processes [Progress in Retinal and Eye Research 93, 101170 (2023); The Journal of Clinical Investigation
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businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Describe the main responsibilities of the position. The position is placed