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AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical imaging QUALIFICATIONS Successful applicants will have: a PhD in
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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, and interpreting models, Analyzing genetics data (e.g. GWAS, eQTLs), including predicting variant effects, stratifying patients, identifying desired patients for recall, Designing, synthesizing, and
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analysis pipelines (e.g., Seurat, Scanpy, ArchR). Prior exposure to high-throughput screening or pooled genetic perturbation methods. What we offer A supportive and collaborative research environment within
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with expertise in biology, biotechnology, computer science, microscopy and bio-engineering that is developing new microscopy hardware and new computational algorithms for the encoding and decoding
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Postdoctoral Fellow (2 Vacancies) Departments of Pediatrics and Medical Genetics, Faculty of Medicine Faculty of Medicine University of British Columbia Successful candidates will join the
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systems, including isogenic knockouts, organoids and/or PDX systems Experience in the design and use of CRISPR functional genetics screening approaches and chemical library screening approaches will be
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equipment, facilities, space and services . These include a magnetic resonance imaging facility, a cellular imaging team with advanced microscopy instrumentation, customized molecular and genetic tools