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learning, offers powerful solutions to automate these tasks and provide reliable real-time information. This doctoral project is part of a 5-year research chair on Computer vision applied to the swine sector
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the issue of antisemitism and a proven record of previous research on this issue. Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing
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neurodegeneration. The RA will work closely with Dr. Stephanie Zande, Dr. Simon Thebault, lab members, and external collaborators to process, analyze, and interpret large-scale transcriptomic, single-cell, 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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communications with broader research team Qualifications: Proven work experience as a Research Assistant or similar role is an asset. Excellent administrative skills Knowledge of research methods, in particular
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 9 hours ago
be processed and displayed on a custom cloud platform. This position is part of the CLEAR project in collaboration with Rogers and the Bamfield Marine Sciences Centre and will include algorithmic
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Organizational Unit: Herzberg Astronomy and Astrophysics Classification: RO Tenure: Continuing Language Requirements: Three English positions and one bilingual (French/English) position (CBC/CBC). Work
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: The successful candidate will work primarily on the following sections of the project. Data analysis: In conjunction with Dr. Deborah Maia de Lima and Dr. Claudia Mitchell, the candidate will : 1) Transcribe and
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Organizational Unit: Quantum and Nanotechnologies Classification: RO Tenure: Continuing Language Requirements: English Work Arrangements: Due to the nature of the work and operational requirements, this position
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the supervision of Dr. Robert Froese. This PhD student will address the DIVERSE project theme focused on the assessment and mapping of functional diversity and redundancy at the national scale, using remote sensing