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: Designing and engineering nanostructures using computational methods Cconducting experiments to assemble and characterize DNA-scaffolded protein mimics Preparing manuscript for research articles Writing grant
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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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components required for prime editing, as well as the development of efficient delivery methods. Apart from correcting disease-causing mutations, the potential of introducing protective mutations will be
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Summary This position will provide technical support to data management plan development, data management, and assist Post-Doctoral Fellows with the development of machine learning methods. Organizational
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of APP and other genes causing familial Alzheimer’s disease. The studies will include the design of components required for prime editing, as well as the development of efficient delivery methods. Apart
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and
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on enhancing health science education by applying psychological and educational theories, interdisciplinary research methods, and leveraging advanced technologies. Their research is primarily informed by
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in meta-analysis, systematic reviews, or quantitative synthesis methods Hands-on experience with coding large datasets, developing taxonomies/ontologies, and implementing AI/ML classification pipelines
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Pacific Institute for the Mathematical Sciences | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
discretizations and/or machine learning methods. The ideal candidate should have a strong background in numerical analysis, scientific computing, and/or scientific machine learning. We are particularly interested
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preparation and data analysis AND/OR - Experience with scRNA-Seq, CHIP-Seq or related methods, including library preparation and data analysis AND/OR - Extensive experience with in vitro or in vitro reporter