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. This role focuses on developing and applying AI and deep learning techniques for analyzing high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects
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clean lab environment Experience using thermal ionisation mass spectrometry (TIMS) Experience in U-Pb data reduction protocol(s) (e.g., Iolite, Tripoli, UPB_Redux) Capacity to lead projects with
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) into the technical architecture and design choices of AI systems, particularly as they relate to data representation, ethical AI frameworks, and beneficial applications. Collaboration and Coordination: Working closely
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staff involved in astronomy research, instrumentation design and development, engineering, data science and observatory support. This fellowship is intended to leverage this environment to help mentor
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will be awarded on the recommendation of the Faculty of Forestry in consultation with the Faculty of Graduate and Postdoctoral Studies. Further Information Full details regarding eligibility, application
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poisoning in emergency departments using data derived from the Canadian Emergency Department Research Network. The incumbent may also have the opportunity to participate in real-world drug safety and
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genomic approach to profile enhancer dependencies. Develop and optimize experimental workflows integrating scRNA-seq, scATAC-seq, and other single-cell omics. Interpret high-dimensional data in
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appropriate. Please note that the review panel will take into consideration whether consumers are involved and to what extent. For more information on consumer engagement, you can download Arthritis Society
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emergency departments using data derived from the Canadian Emergency Department Research Network. The incumbent may also have the opportunity to participate in real-world drug safety and surveillance research
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of structural data obtained by cryo-electron microscopy Producing innovative recombinant thrombolytic proteins. Generate stably transfected cell lines Produce and purify functional recombinant proteins Evaluate