92 distributed-algorithms-"Meta"-"Meta"-"Meta" positions at McGill University in Canada
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. Updates manuals/datasheets as required. Distributes and tracks items, such as laboratory shipments. A log to track these items may be required. Maintains lab work area in a clean and orderly fashion. Opens
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 10 days ago
minutes of discussions and decisions, distribute minutes (e.g. committees will evolve around operations at CMARC). Plans and maintains space, inventory and oversees CAST purchasing. Interacts with
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programs and other activities related to illness prevention and health. Organizes, distributes and verifies the work of others, and participates in their training. Collaborates in research projects. Acts as
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of the animals, • Help maintain inventory of materials and equipment, • Distribute clean linen and uniforms, • Operates and monitors appropriate equipment, tools, materials and instruments, • Interaction with
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problems with their research protocols or experiments or proper use of equipment. Oversees Commercial alcohol purchasing, receiving, storage, distribution and annual reporting for teaching and research
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for distribution of the Registered Not paid lists of registered students who owe fees from prior term to faculties and ES and is a main contact person for reinstatement requests; Responsible for managing a variety
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taking classes and resolves problems in relation to their file. Produces and coordinates distribution of documents. Major duties and responsibilities Answers student affairs hotline and emails in a
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databases. Updates manuals/datasheets as required. 4. Distributes and tracks items, such as laboratory shipments. A log to track these items may be required. 5. Maintains lab work area in a clean and orderly
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concerning University activities and administrative services. · Distributes documents and assists clients in completing forms. · Answers phones, e-mails, guest/student inquires. · Handles check-in and checkout
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, and explainability; developing unbiased algorithms and responsible data use; addressing the social impacts of AI and IT-induced biases; equitable compensation policies; combating labour discrimination