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(in both the Departments of Physics and in Computer and Electrical Engineering) and partners worldwide, leveraging industry-standard tools and technologies to ensure the quality and reliability
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methodologies is required. Technology skills: Office© suite, reference management software, and qualitative and quantitative analysis software (e.g. EndNote, NVivo/QDA MINER, SPSS, Covidence, Revman, or other
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coating techniques as required for electron microscopy. User Support & Training Train graduate students, postdocs, and visiting researchers in ultramicrotomy and electron microscopy techniques. Provide
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. Required Number of Hours: Up to 12 hours per week Duration of Employment: April 22, 2026, to October 31, 2027 Qualifications Education: Completion of a bachelor’s degree in education, environmental
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Do you have a technology-driven solution to a compelling and unmet need in digital health or life sciences? If you need a boost to launch your solution to market, this fellowship may be for you
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 13 days ago
the experimental control software. Participates in assembling and test elements of the training setup and reward delivery system. In collaboration with the research team, assist with troubleshooting and optimizing
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work experience in AEC (architecture, engineering and construction) industry. Experience working in architecture firms is an asset Familiarity with key stakeholders and topics pertaining to the DER
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document preparation for both large and small audiences Experience in AEC (architecture, engineering and construction industry) stakeholder engagement and familiarity with key stakeholders and topics
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, multitask and meet deadlines Must have strong problem-solving capabilities. Advanced computer experience is required (e.g. MS Office, lab/research equipment software, databases) Valid BC Driver’s License
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systems. Familiarity with electrical engineering principles, power systems, or energy systems is required. Ability to work in a hands-on laboratory, data analysis, or simulation-based research environment