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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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resolving complex requests, collaborating on workload planning, and stepping in to assist with processing when needed. This position requires deep expertise in payroll systems and configurations, along with a
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of remote IoT sensors that monitor key fire weather parameters. These data feed into a deep learning pipeline that integrates high-resolution satellite imagery, fuel and weather data, and state
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systems and applications. Research and maintain a deep technical understanding of current and upcoming ServiceNow releases, communicating benefits and alignment with SAIT strategy. Diagnose and resolve
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supporting corporate training, the individual learner and international projects. We create courses and programs for life-long learning with careers at our core. Our courses range from exploring general
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equitable research environment that values diversity in all its forms. To learn more about ongoing research and recent publications, please visit: https://kaushiklab.com . Why MUN? The Faculty of Medicine
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. Job End Date Mar 31, 2026 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
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PhD or an equivalent university degree; a postdoctoral experience in clinical research, neuroscience, bioinformatics, epidemiology, biostatistics, or a related field (skills in deep learning
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management, educational outreach, policy development, and data-informed decision-making. The ideal candidate will possess a deep and comprehensive understanding of academic integrity, including current trends