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the Future of Agriculture If you want your work to move beyond the lab—from concept to prototype to real-world field deployment—while solving complex engineering challenges alongside leading agricultural
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of imaging equipment and computer systems, and the ability to exercise sound judgment in a fast‑paced clinical environment. PRIMARY JOB RESPONSIBILITIES Independently operates all mammography equipment and
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to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and
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troubleshooting Carry out independent quality control and routine servicing of instruments; assist with maintenance and repairs Advance imaging methods, particularly in the areas of image processing and analysis
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projects are brought to the Imaging Core Facility. Our wide range of imaging capabilities, from macroscopy and confocal microscopy to electron microscopy, supports this breadth. You will be part of a team
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, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple
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the AI-based Digital Pathology (AiDP) Programme. The programme focuses on the development and validation of advanced AI methodologies, including image processing, computer vision, and mathematical
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workforce planning, compliance, operational effectiveness and staff experience across the university through integrated business, process and technology outcomes Offering a competitive remuneration package
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26 Sep 2026 Job Information Organisation/Company Tohoku University Research Field Engineering Computer science Technology Information science Researcher Profile Leading Researcher (R4) Application
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imaging, computational medicine, cellular engineering, and synthetic/systems biology. Duke BME is dedicated to improving human health by developing technologies that support precision medicine, preventive