15 learning-"https:"-"https:"-"https:"-"https:" research jobs at McGill University in canada
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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University, six Ghanaian educational institutions, and an industry partner to transform Ghana’s nutrition and agri-food ecosystem by creating opportunities for youth-led impact through experiential learning
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: Steinberg Centre for Simulation and Interactive Learning (SCSIL) The Surgical Performance Enhancement and Robotics (SuPER) Centre in collaboration with Steinberg Centre for Simulation and Interactive
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manipulation and spectroscopy. Problem-solving abilities, attention to detail, and the capacity to adapt to an evolving work environment. Demonstrated ability to learn new tools and applications quickly and
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to work independently and collaboratively within a multidisciplinary team environment with minimal supervision. Ability to learn, understand, and apply complex clinical research protocols, procedures, and
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of the session. Produce a polished visual summary for each class to be shared with students afterward as a learning artifact. Collaborate with the instructor before each session on themes and concepts worth
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afternoons/early evening. Interest in child and language development. Interest in communication sciences and disorders. Fully bilingual and English and French; with and interest in learning about other non
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of supporting research documentation. Ensures the quality and functionality of research tools and environments by evaluating simulation performance to support immersive research and learning experiences using
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social media platform on the research outputs including publications, reports and research activities. Qualifications: Adaptability and a quick learning ability to understand diverse subjects in ecology
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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models