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machine learning computer models (i.e. algorithms) for medical imaging, bioinformatics (i.e genomics data including single cell and spatial omics) and drug development applications. Performs analysis
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Downtown Campus TEACHING QUALIFICATION REQUIREMENTS : Experience Experience in the following area: Python programming; Algorithms; Software design; Applications of computer science in life science Previous
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: Desautels Course Title and Course Number: Enterprise Data Science: Concepts and Algorithms/Enterprise Machine Learning in Production INSY 674/684 Estimated Number of Positions: 1 Total Hours of Work per Term
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Sessional Lecturer Position Posting Date: October 3, 2025 Program: Master of Health Informatics (MHI) Sessional Dates of Appointment: Winter 2026, January to April Course Description: This course is
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findings regularly. Prototype algorithms, validate outputs, and document methods clearly Collaborate asynchronously with an international team, present findings regularly Experience with remote sensing
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: COMP 250 - Course Title: Introduction to Computer Science Course Number: COMP 251 - Course Title: Algorithms and Data Structures Course Number: COMP 252 - Course Title: Honours Algorithms and Data
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: October 01, 2025 Applications for this course will be accepted until OCTOBER 15, 2025 Course Title COMP 208 - 002 Computer Programming for Physical Sciences and Engineering Term Winter 2026 Credit 3
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: October 01, 2025 Applications for this course will be accepted until OCTOBER 15, 2025 Course Title COMP 208 - 001 Computer Programming for Physical Sciences and Engineering Term Winter 2026 Credit 3
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: Technical Skills in the following categories are necessary: Strong background in image processing techniques. Experience with AI, machine learning and deep learning algorithms, particularly in computer vision
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, developing, and implementing innovative machine learning models and algorithms to drive insights from the hEDS*omics multimodal dataset, encompassing clinical, environmental, and multi-omics data. This role