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Excellent organizational, communication, and teamwork skills Experience with dynamic causal modelling (DCM), machine learning or related computational approaches are an asset Roles and Responsibilities
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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Position Summary: Proposed project title: “Targeted & Non-targeted analysis of PFAS in food packaging“. Develop and apply liquid chromatography (LC) methods coupled with high-resolution mass spectrometry
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first author publications in reputable peer-reviewed journals Advanced quantitative skills (e.g., advanced stats [MLM], machine learning, data mining). Willingness to develop desired skills (see directly
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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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data collection and analysis for publication in peer-reviewed journals. The position will also include mentoring of undergraduate students. Qualifications: Research publications, grant writing
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: Post-Doc in the area of AI-based solutions for high-level decision-making for robotic systems. Development, testing and evaluation of the co-planner assistant for operation of harvester machine
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with multivariate statistics, machine learning, and/or remote sensing would be an asset. Experience and education: Ph.D. degree in geography, agriculture/agronomy, environmental science, or a related
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. Leadership & Learning: Building the next generation of crisis leaders through our Pandemic Fellows Program and global network. Convening & Collaboration: Creating space for interdisciplinary exchange through
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 months ago
of climate change and neurodegenerative diseases. The role I seek a candidate with experience in quantitative fluorescence microscopy acquisition and analysis and a background in biology. The candidate will