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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 22 days ago
the micromanipulation of the injection device with 3-D localised imaging. Further information on the research priorities and current expertise of our Centre can be found at http://www.icter.pl . We are looking for a
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, workflows, and related solutions. · Support forensic, laboratory, imaging, and vendor-managed technology that may fall outside standard University deployment and support processes. · Protect
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include evening and weekend hours. The work schedule to be arranged with the Hiring Manager. Department Summary UCLA Film & Television Archive, a department of the UCLA Library, collects moving images as
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
OCR and image processing applications; conduct quality control; and meet production goals and deadlines. The position collaborates with staff and vendors on digitization projects; applies appropriate
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our diversity, equity and inclusion initiatives, imaging and imaging technology-related clinical and basic science research. The department's missions focus on education, imaging-related research, and
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analysis, or assistive technology; Experience in applying AI methods such as machine learning, deep learning, computer vision, multimodal data analysis and large language models (LLM) in health-related
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Skip to main content Recruit Home Open Recruitments Assistant Professor – Intersection of Statistics and CS – Departments of Electrical Engineering & Computer Sciences and Statistics (JPF05569
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, immunology, neurobiology, and cell biology. The Duke Center for Advanced Genomic Technologies (https://cagt.pratt.duke.edu ), an initiative established by the Pratt School of Engineering and School of Medicine
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research and teaching team in the field of image information engineering. The team’s work combines vision systems and computer vision, AI-based image data analysis, VR/XR technologies, and the integration