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and cellular processes shape health and/or contribute to a sustainable environment. The department offers access to a host of advanced microscopy resources, such as light sheet, super-resolution, and
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an academic and corporate environment is a strong asset. Demonstrated ability to strategically prioritize and manage multiple tasks and projects in a dynamic and evolving environment. Demonstrated technical
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 11 hours ago
, and record keeping. Ability to work independently while contributing effectively to a collaborative research environment. Interest in translational research and industry-academic collaborations
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manipulation and spectroscopy. Problem-solving abilities, attention to detail, and the capacity to adapt to an evolving work environment. Demonstrated ability to learn new tools and applications quickly and
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considered an asset. Proven experience and knowledge of university administrative and academic policies, procedures and processes is considered an asset. Experienced managing in a unionized environment is also
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to work independently and collaboratively within a multidisciplinary team environment with minimal supervision. Ability to learn, understand, and apply complex clinical research protocols, procedures, and
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unionized contractual appointment. A Teaching Assistant is a McGill Graduate Student employed to assist the Course Supervisor as a Teaching Assistant in a classroom environment. Teaching Assistant Positions
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feedback, and enable independent practice outside conventional instructor-led settings and without audio/video/data connectivity. The selected candidate will join a collaborative environment involving
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research, archival research, or an academic research environment is required; an equivalent combination of education and experience may be considered. Demonstrated ability to conduct research projects using
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML