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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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Introduction to Electric Power Systems EE271 Materials and Heat Transport in Electrical Engineering EE342 Transmission of Electrical Energy EE365 Algorithms and Circuits with Finite Precision Arithmetics EE382
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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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Mount Allison University | Fredericton South New Brunswick Provincial Government, New Brunswick | Canada | about 21 hours ago
academic term, which are provisionally planned to be Programming Techniques and Algorithms (COMP 1731), which includes a weekly three-hour lab conducted in Java, and Algorithm Analysis (COMP 3611). Calendar
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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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: 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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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