1,734 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" positions in Canada
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) Position Number: 00043078 Description: About us: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection
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, biochemistry, molecular biology, protein engineering, computer science, artificial intelligence/machine learning, biophysics, nanotechnology, etc., are encouraged to apply.
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well as independently WORKING CONDITIONS Sitting at a desk and computer for long periods of time General office conditions Regular contact with students with a variety of disabilities Dealing with challenging
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institutional policies, procedures, and graduation requirements. Teach students how to access and interpret key advising tools (e.g., mruGradU8, program planning guides, academic calendar, MRU website). Perform
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: · Enrolled in a graduate program related to data science, or health sciences/medicine disciplines · Advanced knowledge of natural language processing, data science, statistics and machine learning
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); Reading required material and any secondary material necessary for preparation of tutorials and class discussions; Consult and communicate with course lecturer; Assist students learning; Effectively
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aspects of fundraising strategy, everything from tracking and reporting to research to facilitating interactions and gifts through the full donor cycle. Most of all, we want someone who is keen to learn
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between data infrastructure and research application guiding users in data discovery, analysis, and the application of modern data science and machine learning methods to advance digital agriculture
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believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment
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to inform you of its vacancy at the University. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning