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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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contribute to the collaborative TQT research community. Principal Investigator: Na Young Kim Project Name: Solid-state analog Optimization Solver and Quantum Machine Learning (Theory) Research Area
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The Department of Political Science at Carleton University is one of the largest in Canada. It encompasses thirty-five faculty members, who teach and research in all fields of the discipline and
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damage of wheat. The project requires fabrication of the dual camera machine vision system based on artificial neural network/deep learning and quantification of alpha-amylase activity in sprout affected
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machine learning components into the IMAGE server architecture to enable the team’s designers and developers to create compelling end-user experiences on the Monarch. Key responsibilities include
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: Position: Sessional Lecturer I (2 positions available) Course title and code: AI in Finance - APS1052 Course description: In this course we’ll give an overview of several applications of machine learning
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requirements Schedule The hours of work will be Monday to Friday, 7 hours a day, 8:30 am to 4:30 pm Schedule Description DUTIES The Resource CoordinatorOpen Learning coordinates the educational resources used
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change depending upon departmental requirements Schedule The hours of work will be Monday to Friday, 7 hours a day, 8:30 am to 4:30 pm Schedule Description DUTIES The E-Learning Support Technician's key
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transformative learning, insights and public engagement, bringing together diverse views and initiatives around a defining purpose: to create value for business and society. We make a fundamental promise – Here’s
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Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Software Engineering
software systems. Knowledge of current software development practices involving artificial intelligence and machine learning is an asset. Candidates are expected to be able to teach courses in existing