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Title : PhD Position (4 years) in Computer Science / Engineering: Development of a Smart Sensor for Real-Time Monitoring of Dairy Calves Context : Calf health is a major concern for the Quebec, Canada
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for PhD students with a strong background in mathematics/statistics or engineering. His personal website is: https://sites.google.com/site/luyangensae/home/research?authuser=0 interested candidates
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, Computer vision, animal sciences). Opportunities to collaborate with international researchers and industry partners. Competitive funding for the duration of the PhD, and access to the resources needed
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Mount Allison University | Fredericton South New Brunswick Provincial Government, New Brunswick | Canada | about 18 hours ago
and Computer Science at Mount Allison University invites applications for a full-time 4.5-month position to teach Computer Science. Candidates must have an MSc or PhD in Computer Science or related
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Administration in the Department of Biochemistry & Molecular Biology. The Graduate Program Assistant receives general direction from the Graduate Advisor and the Program Manager. Work Performed General/HR Working
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introductory-level nursing courses and be prepared to actively participate in program and curriculum development. Preference will be given to applicants who have expertise in adult health acute care (medical
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internationally competitive research program in Plant Molecular Genetics. The successful candidate will be affiliated with the Institute for Research in Plant Biology (IRBV), which benefits from a unique
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. Candidates should have a PhD degree with postdoctoral experience, proven research ability and a strong commitment to service and teaching in Chemistry. Applications from senior candidates may be considered
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Enrollment Limit: 25-30 Location: Saskatoon Qualifications: Minimum of a Master’s degree in economics, public policy, public administration, or a related discipline is required; PhD degree preferred. Work
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Research Assistant 2 position is based in Prof. Narges Armanfard's research lab in the department of Electrical and Computer Engineering. The research project focuses on data-driven Atmospheric Plasma Spray