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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
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for Genomics, Transcriptomics, and Bioinformatics Job Summary The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking one postdoctoral fellow to join our dynamic
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, genomics, bioinformatics, plant genetics, or related fields. Candidates must hold a PhD in Population Genetics, Genomics, Bioinformatics, Plant Genetics, or similar fields with an excellent publication
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 12 hours ago
scientific community Candidate We are seeking a postdoctoral researcher with a strong background in population genetics, genomics, bioinformatics, plant genetics, or related fields. Candidates must hold a PhD
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 21 hours ago
the field. The ideal candidate will have: A completed or near-complete doctorate in Computer Science, Biomedical Engineering, Statistics, Bioinformatics, Medicine or Health Sciences, or a closely related
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pipelines, including data processing, harmonization, and statistical analysis workflows. Data translation: Lead technical data activities across laboratories and omics groups; works with investigators
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, including data processing, harmonization, and statistical analysis workflows. Data translation: Lead technical data activities across laboratories and omics groups; works with investigators, bioinformaticians
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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Biology, Bioinformatics, Statistics, or a closely related discipline, and have an strong record of research productivity. The ideal candidate will have experience in deep learning, generative models
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documentation. Develops integrative models of radiation response through the combination of genotype and biomarker data. (Raman, blood marker etc.) Facilitates processes for data transfer and collaboration by