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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 16 hours ago
metabolomics] research, with experience in the use of techniques in machine learning, statistics, algorithm engineering, bioinformatics, or advanced data visualization. Evidence of effective participation and
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learning technology/AI as a tool to analyze these images and come up with an algorithm to be utilized for early detection of AD/PD when the patient has no visible sign and symptoms. This project is team
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are not limited to: Imaging and diagnostic technologies, including wearables and remote health monitoring; Biomaterials and tissue engineering, including regenerative medicine
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in biomedical engineering and organ-chip technology. The position is being offered in the Division of Thoracic Surgery of the Department of Surgery and the Cancer Research Program at the RI-MUHC, with
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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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the direction of the Principal Investigator, the position provides technical and administrative lab support in a large research group that is based in Arts and Science but with deep connections to Engineering
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Applied 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
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technology development are deeply valued. Applicants must have earned a PhD in a relevant field with a clearly demonstrated record of excellence in research and teaching. We are particularly interested in
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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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such as magnetic resonance imaging (MRI) scans and electroencephalography (EEG), including positioning equipment on study participants (scalp and head region), computer set-up, and monitoring. Maintains