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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected to develop deep learning models for analyzing whole-slide histopathology
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+ benefits. AI and Deep Learning for Genomics, Transcriptomics, and Bioinformatics Job Summary The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking one
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workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness
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and managing scalable ETL (Extract, Transform, Load) pipelines to integrate multi-source, multimodal datasets Applying big-data analytic, including spatio-temporal modeling and deep learning techniques
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the time of the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single
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the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single-cell omics datasets
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workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness
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experience of the candidate At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
, including those which help mitigate climate change such as offshore wind farms. Applying and advancing techniques such as Deep Learning (ANN), Reinforcement Learning (RL), and Deep Reinforcement Learning (ANN