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: Course title: APS360H1 Y – Applied Fundamentals of Deep Learning Course description: A basic introduction to the history, technology, programming and applications of the fast evolving field of deep
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Deep learning offers significant potential to extract more and different types of information from 3D point clouds, than traditional classification techniques. Point-based deep learning estimation
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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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of Chemistry Position Summary: Collaborate with researchers to develop and implement algorithms for numerical reconstruction of holography microscopy images. Utilize machine learning and deep learning methods
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the synthesis of faith and reason in all aspects of the human condition.” Over time, this emphasis on reflective learning has cultivated a deep interest in social justice, expressed through unique
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) Proficiency in Python programming language At least one year of experience with deep learning frameworks such as TensorFlow or PyTorch At least one year experience with software development tools such as Git
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administrative data centres and telecommunications services. If you’re motivated and passionate about learning technologies and dedicated to improving experiences for today’s student, consider a career with us
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programs at the Brantford campus. Laurier has a distinct commitment to teaching, research, and scholarship, combined with a strong student focus, high levels of student satisfaction and a deep sense of
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that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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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