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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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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
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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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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researcher position under the supervision of Assistant Professor Dr. Anže Švara. This research will leverage advanced sequencing and bioinformatics analyses and will be conducted across field, greenhouse, and
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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
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with an applicant with expertise in bioinformatics (the other position can be more general). Preference will be given to candidates with bold ideas, demonstrated research ability, strong communication
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diversity and representation at all levels of teaching, learning and research. Nominees must be nominated by their prospective Faculties/divisions following the timeline and processes outlined below. While