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of Earth; (ii) Dynamics of Earth System Processes in Modern and Deep Time; and (iii) Mineral and Energy Resources for a Sustainable Future. Primary Purpose: This position is an integral component of our
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with deep expertise for the position of Assistant Vice-President, Innovation, Partnerships and Entrepreneurship (AVP-IPE). The AVP-IPE will join a talented and highly integrated team within the Research
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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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this environment, professors, staff and students learn together and challenge one another in an open-spirited and inclusive community that values curiosity, engagement, and courage. McGill University seeks a Dean of
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of Religious Studies is hiring two course lecturers to team-teach RELG 270 Religious Ethics and the Environment in the Winter 2026 term. Teaching Qualification Requirements: Education Minimum of a Ph.D. in
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: Optical Fibre Communications; David Plant ECSE 551: Machine Learning for Engineers; Mark Coats ECSE 552: Deep Learning; Course Lecturer ECSE 554: Applied Robotics; Hsiu-Chin Lin ECSE 597: Circuit Simulators
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emphasis on reflective learning has cultivated a deep interest in social justice, expressed through STM’s unique interdisciplinary programs (e.g., Catholic studies; critical perspectives on social justice
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Staff Scientist within SDL1: Inorganic Expertise in the following areas is desired: -Design, development, and operation of electrochemistry self-driving labs -Deep understanding of self-driving workflows
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): applied optimization, Bayesian inference, big data analysis (especially as applied within astronomy or medical physics), computational statistics, data visualization, deep learning or statistical learning
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projects across the following areas: Spatial and Single-Cell Proteomics in Childhood Cancer Cell-cell communication & cellular fitness in CAR-T & CAR-NK therapy Deep learning & LLMs in mass spectrometry data