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Qualifications: Expertise in C. elegans husbandry, genetics and experimental manipulation - Expertise in florescence microscopy, particularly confocal and live-cell imaging - Expertise in image analysis, including
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: Extend the seedlist used in the Canadian information ecosystem analysis by collecting and analyzing data on relevant entities; Communicate findings with team members, receive feedback, and converge
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hands-on experience applying deep learning techniques to medical image analysis. Ideally, the candidate will also have experience working with large-scale datasets and possess solid software engineering
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, data analysis, and manuscript preparation, while engaging in collaborative research at local and international levels. General Duties INTRODUCTION AND ROLE: The incumbent will support the execution and
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sign-up after start of term). Must have completed MECH 261 or 262 or equivalent. Experience required in experimental research, measurement device operation and data analysis. Requires public speaking
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syntheses (meta‑analysis/meta‑regression in R/Stata) and/or qualitative/realist syntheses as appropriate. Convene and coordinate national/international collaborators and community advisors; steward milestones
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use of different types of student assessment (traditional and alternative assessments); assessing the classroom environment; issues in assessment. Application component: application of assessment
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: Department of Geography Course Title and Course Number: ESYS 300 Earth Data Analysis Estimated Number of Positions: 1 Total Hours of Work per Term: 45h Hourly Salary: According to the collective agreement
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research agenda. This role involves assisting, when necessary, ALL the researchers of the group with the preparation of research proposals, data collection and analysis, and development of research reports
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: Department of Biology (Professor Jon Sakata) Position Summary: Performs stereotaxic surgeries on songbirds. Runs experiments on vocal learning. Analysis of vocal performance and learning. Processes brain