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developing image analysis and machine learning algorithms and tools for aerial imaging and analysis. You will also contribute to data collection, data curation, and the development of a data portal for project
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degree in Engineering, Computer Science, or a related field. Familiarity with machine learning concepts and algorithms is highly preferred. A basic understanding of audio processing and acoustic analysis
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: MUAP 333.3 (20) – Saxophone Studio (Undergraduate) Term and Course Dates: Term 1 (September – December) CRN: 89477 Delivery Mode: Applied Studio Lessons Course Schedule: Private Lessons – TBD Expected
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: This course will be taught as a lecture Course Schedule: Wednesdays; 17:30 - 20:20; Room 103 Edwards Expected Enrollment Limit: 70 Course Number, Section, and Name: COMM 229 (17), Personal Financial Management
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Mode: This course will be offered as a Lecture. Course Schedule: Tuesday/Thursday 11:30 am to 12:50 pm Expected Enrollment Limit: 275 Location: Saskatoon Qualifications: Masters degree in a relevant
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155.3 (01) – Music in History and the Present Term and Course Dates: Term One (September – December) CRN: 88203 Delivery Mode: Lecture Course Schedule: Mondays, Wednesdays & Fridays, 9:30 a.m. – 10:20 a.m
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a lecture. Course Schedule: Tuesday/Thursday 10:00 am to 11:20 am Expected Enrollment Limit: 90 Location: Saskatoon Qualifications: Minimum of a M.Sc. degree or equivalent in Agricultural
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320.3 (01) – Equine Science Term and Course Dates: Term One (September to December) CRN: 85224 Delivery Mode: Lecture with a Lab Course Schedule: Lecture Tuesday/Thursday 10:00 am to 11:30 am. Lab Tuesday
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clients from project inception to completion, ensuring delivery that meets or exceeds functionality, schedule, and budget expectations. In addition to project execution, this role is responsible
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lecture Course Schedule: Monday, Wednesday, Friday 11:30 am – 12:20 am Expected Enrollment Limit: 253 Location: Saskatoon Qualifications: A PhD in Chemistry is required, along with relevant teaching