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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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liquid and gas chromatography, ICP-OES and ICP-MS, elemental analyzers, TOC, and BET analyzers are major assets. Proficient with Microsoft Office applications. Knowledge is advanced statistics is an asset
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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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critically overlooked element in realizing child rights: intergenerational relationships. The recently expanded ICCRP is now focusing on this new, innovative research direction to examine how intergenerational
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critically overlooked element in realizing child rights: intergenerational relationships. The recently expanded ICCRP is now focusing on this new, innovative research direction to examine how intergenerational
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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