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detection and multi-animal tracking in complex environments. Behavioral analysis and animal posture recognition. Image processing under uncontrolled conditions (variable lighting, occlusions, movement
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prototype and validate your research directly in the field. Integration into a dynamic, multidisciplinary team (engineers, computer scientists, animal scientists, veterinarians). Collaborations 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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, 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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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
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*. * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities. Candidates are asked to self-declare when applying to this hiring process. City: Edmonton
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MSc/PhD Position at the Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Canada
-of-the-art medical laboratories equipped with high-resolution confocal imaging, a Seahorse analyzer for metabolic profiling, flow sorters and cytometers, an electron microscopy suite with advanced tissue
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Change, Glaciology, Modeling, Imaging, Algorithms and Combinatorial Optimizations. Eligibility to hold scholarship funding: Recipients must be offered and accept admission to a UBC PhD program in
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://www.frontiersin.org/articles/10.3389/fnsys.2021.767461/full Miniaturized head-mounted microscope for whole-cortex mesoscale imaging in freely behaving mice. Nature Methods 2021 https://www.nature.com/articles/s41592