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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 1 month 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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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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computer workstations, data storage servers, and networks in the lab, and perform routine data backup. Coordinate users and access to UBC Advanced Research Computing resources. Managing safe handling and
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Bioinformatics and Genomics · Processes and analyzes next-generation sequencing data · Performs genome assembly, variant calling, SNP/indel analysis, structural variant detection · Conducts
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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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Research Assistant 2 position is based in Prof. Amin Emad's research lab in the department of Electrical and Computer Engineering. The RA 2 will work in collaboration with the Research Supervisor to develop
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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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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