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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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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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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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, 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
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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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LOCATION Downtown Campus TEACHING QUALIFICATION REQUIREMENTS : Experience: Experience in the following area: Python programming; Algorithms; Software design; Applications
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LOCATION Downtown Campus TEACHING QUALIFICATION REQUIREMENTS : Experience Experience in the following area: Python programming; Algorithms; Software design; Applications
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responsibilities: Organizing and preparing exam materials for digital processing and distribution. Ensuring accurate record-keeping of exam submissions and materials. Assisting with the distribution and tracking
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required. Programming skills are not necessary, but experience in genomic research and a broad knowledge of methods and algorithms behind genomic resources is required (e.g. next-generation sequencing
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and distributed. Duties and Responsibilities: Photocopying, counting, and organizing exams, booklets, and multiple-choice answer sheets. Collating and bundling exam materials by exam session, ensuring