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prior surgery experience and optical imaging experience is preferred. However, any qualified individual with the tenacity and willingness to learn and take on a complex project would be favorably
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. Reporting: Communicate findings to project partners with diverse backgrounds (e.g., space systems engineering, astrobiology, microfluidics) to support the development of a prototype LMCOOL instrument for
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23 Sep 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Sociology Ethics in health sciences Researcher Profile Recognised Researcher (R2) First Stage
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. Preferred Qualifications: Strong background in ultrasound imaging Experience in photoacoustic imaging Strong hands-on skills in medical device development or strong computational skills including signal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
of Computer Science at the University of North Carolina at Chapel Hill seeks a talented, highly motivated postdoctoral researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
of Computer Science at the University of North Carolina at Chapel Hill seeks a talented, highly motivated postdoctoral researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is
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Full time fixed term position until July 2026, located on the Darlington Campus at the Faculty of Engineering Opportunity to contribute to an industrial project on PFAS-free low-adhesion coatings
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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full-time, fixed-term position for a duration of two years. The role is based within the Department of Computer and Information Sciences at Northumbria University, located in Newcastle upon Tyne. About
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this technology and create stand-alone units within washroom and cleanrooms. We will develop widefield fluorescent imaging techniques to segment contamination from instruments, with automated multi-spectral overlay