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related field (chemistry, food science, biochemistry, etc.). Strong proven background (published work in peer-reviewed journals) in analytical chemistry (non-targeted analysis of plastic related
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, NeurIPS, ICML). Strong mathematical skills; programming skills and ML/DL experience (e.g., PyTorch/TensorFlow). Additional Skills (assets): Experience with temporal/longitudinal MRI and temporal 3D
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climate shocks to natural disasters. Important note: Our team does not conduct wet lab research. This is NOT a laboratory-based (bench science) fellowship. PERL operates across three core pillars: Science
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the project to the advancement of sports science, and specifically endurance sports (if applicable), b) the alignment with the supervisors’ program of research, c) the resources available
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fellows for a collaborative team project to uncover the cellular 'band aid' proteins that enable rapid wound healing in axolotls and flies. Funded by the prestigious Human Frontier Science Foundation
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The Rehabilitation Research Program (rehabresearchprogram.com) at the Centre for Aging SMART at Vancouver Coastal Health invites applications for a full-time (1.0 FTE) Postdoctoral Fellow in the field
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: Applications will be reviewed until filled Desired Start Date: Monday, September 1, 2025 or earlier The Rehabilitation Research Program (rehabresearchprogram.com) at the Centre for Aging SMART at Vancouver
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Start Date: Monday, September 1, 2025 or earlier The Rehabilitation Research Program (rehabresearchprogram.com) at the Centre for Aging SMART at Vancouver Coastal Health invites applications for a full
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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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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 2 months ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore