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experimental collaborators to connect computational innovations to biological insight, with the goal of producing high-impact publications in computational neuroscience and AI. Candidate We are seeking
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, interdisciplinary research environment at UBC, with access to high-performance computing resources and high-quality omics datasets. The position offers opportunities to work closely with experimental and
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, contribute to a high-visibility interdisciplinary research program, publish in top-tier venues, and develop an independent research profile. Vancouver is consistently ranked among the world’s most livable
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leading edge research into improved substance use care across BC. To this end, the BCCSU develops evidence-based training curricula, program standards, and practice guidelines while networking regional
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to write and communicate clearly Preferred Qualifications Experience with high performance computer clusters Experience with the analysis of large datasets Good understanding of immunology Any kind
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cytometry, imaging, compute infrastructure and the animal resource centre. Vancouver repeatedly ranks among the most livable places in the world and combines excellence in research with high quality of life
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use care across BC. To this end, the BCCSU develops evidence-based training curricula, program standards, and practice guidelines while networking regional health authorities, researchers, educators
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through the Mitacs program and offers the fellow the chance to work closely with academic and industry experts from UBC and RBI, a local company developing new treatments for neurological diseases
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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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. The position is full-time for one year with the possibility of extension subject to work performance, funding availability and compliance with UBC policies. Salary will be commensurate with qualifications and