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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
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deep learning techniques for analyzing high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects include modeling of bulk and single-cell
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images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data. This position is ideal for candidates passionate about applying AI
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expertise working with workers’ compensation data from across Canada. It is an excellent environment for an early career scientist to contribute to a program of research on work and health, and workers
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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. Experience or understanding of TCR sequencing and repertoire analysis; familiarity with single-cell data integration is a plus. Demonstrated interest in synthetic biology, tissue engineering, or immune system
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. The BCCVH and Dr. Bouchard prioritize patient-oriented research by forming close research collaborations with patient and community partners. Please visit our websites for more information about the BCCVH
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your research interests and fit for the position Curriculum vitae with publication list Contact information for 3 academic references Applications should be submitted via UBC Workday Careers. For any
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NSF Astronomy and Astrophysics Postdoctoral Fellowships provide an opportunity for highly qualified, recent doctoral scientists to carry out an integrated program of independent research and
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laboratory of Dr. Bruce Carleton and the multi-centre research team of the Canadian Pharmacogenomics Network for Drug Safety (CPNDS). We are seeking scientists to lead research projects with a specific focus