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(Computational Biology and Translational Bioinformatics) to join an innovative translational research program investigating the molecular mechanisms underlying ocular and neurodegenerative diseases. The
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British Columbia is seeking a highly motivated Postdoctoral Research Fellow (Computational Biology and Translational Bioinformatics) to join an innovative translational research program investigating
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Experience · PhD in Bioinformatics, Computational Biology, Statistics, Genetics, Genomics, or a related discipline. · Demonstrated expertise in next-generation sequencing technologies
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background in health data science, bioinformatics, or artificial intelligence to join the Uterine Health Research Lab. This position offers a unique opportunity to develop and deploy AI-powered analytics
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existing data (i.e., publications and presentations) as well as launching new research. Develop and maintain bioinformatics pipelines for bulk and single-cell RNA sequencing, cell-free RNA, DNA
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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University of British Columbia - Department of Medicine | Northern British Columbia (Fort Nelson), British Columbia | Canada | 29 days ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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, cancer, and control tissues for whole genome sequencing including co-ordination of external sequencing contracts and bioinformatics. · Contribute to study design, data interpretation, quality
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workflows, including biospecimen collection, processing, and molecular or biomarker analyses. Collaborate with the multidisciplinary team at BCCHR and WHRI and mentor research trainees (e.g., undergraduate
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repertoire sequencing, and other multi-omics technologies. Collaborate with computational scientists to analyse large-scale datasets using state-of-the-art bioinformatics and artificial intelligence