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within our HubMeta platform. The Postdoctoral Fellow will lead the data cleaning, measurement taxonomy development, and AI-integration phases of the project. Reporting to the Principal Investigator (Dr
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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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innovation and scholarship of tomorrow to develop the skills to build world-class research and drive Canadian prosperity and competitiveness. Description The CPRA program is a federal research talent
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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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analysis. Prepare reagents for experiments Monitor use of reagents and other supplies, order lab supplies and maintain inventory Establish and maintain laboratory information and data files; perform data
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Royal College of Physicians and Surgeons [Royal College]). The postdoc will support three interrelated research objectives: (1): Validating and examining the efficacy of our newly developed self-report
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mass spectrometry. They will also design and implement new tools for visualization of mRNA translation at a global and single-molecule level and develop a new framework for mRNA translation and protein