111 algorithm-development-"The-University-of-Edinburgh" Fellowship positions in Canada
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process by international reviewers. The candidates will be informed about the decision around mid-February 2025. Your Responsibilities Develop and implement your research project Build up your own research
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lead the in vivo functional analysis of this gene using conditional KO mouse models, with a focus on brain development, neuronal differentiation, and seizure susceptibility. All models are already
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. This initiative aims to develop highly skilled researchers advancing knowledge and improving outcomes for individuals affected by stroke-related cognitive decline. The fellowship fosters innovative research
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the Zandstra Stem Cell Bioengineering Laboratory The Zandstra Lab, develops integrated computational and experimental approaches to enable advanced therapies from renewable sources. With expertise in
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Cell Bioengineering Laboratory The Zandstra Lab, develops integrated computational and experimental approaches to enable advanced therapies from renewable sources. With expertise in quantitative
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. They will launch new research at the BCCVH, including the development of clinic databases to facilitate the collection of patient- and clinician-reported outcome measures in the Vulvar Pain and Vulvar Disease
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researchers in the group, and industry professionals, the Postdoctoral Fellow will engage in leading-edge research on the development of novel numerical models, and conducting experiments for test installations
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benefits, training and development opportunities to support the professional growth of our staff, access to recreational and leisure facilities, a welcoming and inclusive environment unrivaled in engagement
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 15 hours ago
of surveys and interviews, engagement of non-academic partners, and organizing meetings. Perform qualitative data analysis, including preparing datasets, coding, and contributing to the development of thematic
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to develop data-driven, space-time explicit precision agronomic solutions Utilizing high-performance computing (HPC) systems for large-scale geospatial data processing, model training, and validation Designing