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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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statistical, bioinformatics, and AI/ML-based analyses to interpret relationships between datasets, health, and disease. Software evaluation: Evaluate and implement tools and software for data analysis
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existing or new projects in understanding host immunity to tuberculosis or other pathogens Bioinformatics and computational modeling The technician will be responsible for maintaining detailed digital
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Summary To perform scientific research, specifically research activities related to X-ray crystallography and bioinformatic analysis of proteins and to report results ready for publication and/or use
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. The position requires both molecular biology skills and bioinformatics expertise. Organizational Status Reports to the Principal Investigator and is supervised by senior researchers in the lab. Communicates
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computer science, bioinformatics, biomedical engineering, electrical engineering or similar, obtained within the last 5 years by the time of the appointment start date. Outstanding publication record in top journals
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projects in the intersection of deep learning and bioinformatics. Establishes the design and development of research methods, data collection and analysis, and the interpretation of results. Oversees and
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techniques are considered an asset. Experience with bioinformatics approaches to biological data and familiarity with the handling of genomics and next-generation sequencing data will be an advantage
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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