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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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to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .
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accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .
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needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .
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of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .
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for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .
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the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .
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to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca .