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develop clinically relevant immune regeneration strategies within the next three years. Research Focus This interdisciplinary project will address how the immune system, particularly the T-cell compartment
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. The CEPL is a research lab that aims to develop, test, and implement physiotherapy and exercise interventions that support people living with and beyond cancer in managing treatment side effects and
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
understanding and engineering of the immune system across the lifespan. This role is part of a broader vision to develop clinically relevant immune regeneration strategies within the next three years. Research
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community partners. Please visit our websites for more information about the BCCVH (https://www.bcvulvarhealth.ca/ ) and Dr. Bouchard’s research lab (https://phaselab.med.ubc.ca/ ). Dr. Katrina Bouchard is a
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and recovery, our researchers are dedicated to developing new treatments, strategies and cures from the time of trauma to post-injury recovery. Dr. Krassioukov’s basic and clinical research has been
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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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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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cloning. Additionally, there is the possibility of mouse xenograft studies. Working as part of a collaborative team, the fellow will mentor junior lab members, prepare manuscripts stemming from this work
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics. This role focuses on developing and applying AI and deep learning techniques for analyzing