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Field
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well as communicate with research networks within the scientific community. Learning Objectives: As part of this learning experience, you may: Learn how grapevine populations and germplasm are evaluated to identify
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Model and MESH model will be made. Model diagnostics will be used to identify hydrological change and cryospheric tipping points in headwater river basins of the Canadian Rockies. This research is part
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, network analysis, and mathematical modelling — with opportunities to pursue independent research. Curious to learn more? Read further to discover more about this opportunity. The team The successful
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collaborate in the design, implementation and analysis of the project. They will usually have different roles in the different phases of the projects, and a DBR study usually runs in several iterations
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow – Human Neuroimmunology, Brain Organoids and Multi-omics Department MS Research Network | Department of Medicine
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, and/or population health. The fellow will engage in ongoing research projects while receiving individualized mentorship in research design, data analysis, scientific writing, grantsmanship, community
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. This individual will be responsible for all aspects of their project, from project design in collaboration with Prof. Giedroc, to execution of experiments, and analysis of all data acquired. The successful
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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets
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polymer materials. Working at the intersection of polymer mechanics and materials design, the group develops polymer networks capable of operating under extreme loading and environmental conditions. The
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mining Experience in one or more of the following is considered an advantage: network analysis, graph methods, knowledge representation or ontologies; mechanistic, causal or dynamic modelling of biological