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, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity with an aim
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Biomedical Engineering, Medical Physics, Electrical, Computer Engineering or a
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field with an emphasis on biomedical image processing at the PhD level with zero to five years of employment experience. Hands-on experience with a tomography beamline is an asset. Expertise in Python
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outdoor and cultural opportunities, a vibrant student scene, and an impressive scientific heritage. Position details PhD students will have the opportunity to participate in one of several available PhD
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and process simulations A PhD degree in electronics or device physics (or PhD graduation in the next year) Experience with image sensor design or research is a plus Social, enthusiastic and result
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, combining imaging tools with chemical and biological platforms to see life in new ways. As a Post Doctoral Researcher at the Franklin, you will bring scientific knowledge and skills to deliver a specific
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Job #JPF10310 INST OF ENVIRONMENT AND SUSTAINABILITY / Institute Of The Environment / UCLA Position overview Position title: Postdoctoral Scholar Salary range: Salary is commensurate with experience
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 1 hour ago
Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support
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collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support