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written and oral communication skills, team building and problem-solving skills. To Apply: Qualified candidates are invited to e-mail to Reshma Rizvi, Scientific Project Manager (reshma.rizvi@usask.ca
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Staff - Non Union Job Category Non Union Technicians and Research Assistants Job Profile Non Union Salaried - Research Assistant /Technician 2 Job Title Research Assistant, Data Management
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progress updates for SSHRC Qualifications PhD (awarded within the last 5 years) in Entrepreneurship, Strategic Management, Organizational Studies, Information Science, or related field Demonstrated expertise
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POSITION SUMMARY: Within this position, the post-doctoral fellow will pursue research on gene editing of APP and other genes causing familial Alzheimer’s disease. The studies will include the design of
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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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-disciplinary grant-funded project led by Prof. Harley. Co-principal investigators, co-applicants, and collaborators collectively contribute a multitude of disciplines including educational psychology (Harley
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to the ICCRP project director (PD), project manager (PM), and relevant university students. The chosen PDF will support research activities and coordinate the training and activities of other students
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the ICCRP, in collaboration with the project director (PD), project manager (PM), and relevant university students. The chosen PDF will support Ontario-focused research activities and coordinate the training
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conditions for a rewarding career. Job Summary Responsible for providing technical support for ongoing research projects. Assists with in vitro experiments related to research in cancer, hematopoiesis, and
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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