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processing, development of ML prediction tools Experience with PyTorch and/or TensorFlow, experience with databases and high-content imaging platforms Familiarity with generative modeling Experience with
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imaging research experience with a background in applying advanced techniques and methodologies. Basic computer vision and image processing techniques with experience in real-world applications is preferred.
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, patch clamp recording, confocal microscopy, calcium imaging and other biochemical analysis (western blot, ELISA, etc.). Ability to work independently and collaboratively in a team environment Excellent
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. Candidates should have excellent programming, communication, and organizational skills. Ideally, candidates should have previous knowledge of image processing, statistics, and machine learning/AI, and
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Research and Innovation Services department helps partners conceptualize, prototype and deliver products to market. ARIS is on the leading edge of novel technology development. As one of Canada’s top applied
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exceptional infrastructure, including: NMRs, 3T MRI, electron microscope, multiphoton and confocal microscopes, high throughput digital imaging, in vitro recording facilities, multiple in vivo ensemble single
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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processing area and delivers to other units of Food Services and various individual areas throughout campus. Maintains records of food and equipment delivered to and picked up from various campus locations
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of Manitoba is $8 million. This appointment will be submitted to the Canada Excellence Research Chairs (CERC) 2026 Competition , which involves a two-stage process: Applicants must apply to this University
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing