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: Department of Biology (Professor Laura Pollock ) Position Summary: Develops and implements species distribution models (SDMs) to predict the geographic distributions of tropical plant species using
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responsibilities: Organizing and preparing exam materials for digital processing and distribution. Ensuring accurate record-keeping of exam submissions and materials. Assisting with the distribution and tracking
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expertise in security or privacy aspects of computer and software systems. Topics of interest include but are not limited to: cybersecurity, network security, secure distributed computing, language/compiler
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of energy in living organisms: distribution of energy, energy conservation in living organisms, isothermal systems, Gibbs free energy in chemical coupling, reversible processes and redox reactions
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McGill University | Edmonton West University Strathcona Place, Alberta | Canada | about 14 hours ago
with laboratory inventory by cataloging materials and equipment. Entering data into inventory databases, updating protocols and datasheets, tracking and distributing laboratory shipments, and ensuring
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the distribution of exam papers to students before exam; • Invigilates exams; • Assists in recovering exam papers from students at the end of exam. Qualifications: • Experience with university exams
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of Computer Science at McGill University (Montreal, Canada) invites applications for a tenure-track appointment at the rank of Assistant Professor. We are seeking candidates with a PhD (or close to finishing) in
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distribution of information packages, letters, forms and applications. Processes documents related to admissions, registration and placement tests. Assesses eligibility according to established guidelines
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML