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Previous Job Job Title Mechanical Engineer (Research Professional 2-Mechanical Eng) Next Job Apply for Job Job ID 376363 Location Twin Cities Job Family Research Full/Part Time Full-Time Regular
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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
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“HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering | Romania | about 1 month ago
/programming skills for text editing and data analysis (e.g., : Microsoft Office Suite, C++, Matlab, IDL, Python, or other programs for data and image processing); A high level of intellectual curiosity
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9 Sep 2026 Job Information Organisation/Company UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA Research Field Computer science » Computer systems Engineering » Computer engineering Researcher Profile
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and sample tracking into reproducible end-to-end pipelines. Develop and apply computational pipelines for image processing, cell segmentation, debarcoding and spatial statistics. Close the experimental
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 0 yrs Required License/Registration/Certification American Registry of Radiologic Technologists (ARRT) at time of
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have been an engine for innovation - driving intellectual, economic, and social progress that benefits California, the U.S., and beyond. Together, we change the world. At Berkeley, the best careers
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Research Associate to oversee the operation, maintenance, and user support of the Hyperion Imaging Mass Cytometer (IMC). This position will serve as the primary technical specialist for the IMC platform and
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18 Sep 2026 Job Information Organisation/Company CNRS Department Reproduction et développement des plantes Research Field Biological sciences Technology » Biotechnology Researcher Profile First
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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