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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
statistical analysis of large clinical data. A curious, collaborative, and cross-disciplinary mindset. Good subject knowledge and experience in cell culture will be a plus. Proficient in English (oral and
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therapeutic strategies to promote these beneficial immune states. Position Overview The Postdoctoral Fellow will lead multi-omic data generation, integration, and analysis to dissect immune–tumour interactions
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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Loading / Chargement... Help Dashboard Dashboard Dashboard Recruiter Login English English We are sorry this posting does not have information in your chosen language Student Research Assistant Job
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generated large-scale, multimodal datasets spanning neural imaging, electrophysiology, behavior, and molecular profiling. While these data offer unprecedented opportunities to understand brain function
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data integration is highly desirable. Candidates with experience in cancer genomics or neuroscience, as well as those who have contributed to open-source software or large-scale data systems
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contrast-agent optimization Lead experimental work in small animal IBD models and contribute to large animal studies Conduct ultrasound imaging using both research-grade and clinical systems Analyze imaging
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on a regular basis Analyze, interpret, and communicate biochemical data with proficiency Operate and maintain essential biochemical equipment including benchtop instruments, small and large centrifuges
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critical support to ongoing Lab projects related to patient engagement and radiology studies. The successful candidate will assist in data collection and coordination of meetings under the guidance
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assists in the development and execution of experiments, data collection and processing, analysis, and compilation of results. Develops and implements new methods based on large language models, contrastive