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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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. 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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to understand the needs, experiences and challenges of people with rare musculosleketal conditions. Conduct quantitative analysis on functional outcomes for descriptive and modelling purposes. Partner with
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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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electrochemical monitoring with high-resolution surface analysis to support pipeline integrity assessments and material reliability in transport infrastructure. - Improve scientific communication through high
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to governing parameters. Fabricate and test specimens to assess the relevant performance metrics for a given application. Qualifications: Computational experience in theoretical analysis, FEA, and experimental
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 21 days 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
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nitrogen module in the Global Change Analysis Model (GCAM). The McGill-based postdoctoral researcher will have a particular focus on synthesizing and harmonizing existing subnational data (including through