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health trajectories from big health record data using advanced AI methods Professor Yue Li is hiring one Postdoc for the machine learning and AI research in healthcare. The position will be held
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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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investigate the factors and parameters that allow for an improved or near optimum set of sample training set to ensure that outputs from the machine learning models provide for results with the most optimum
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. Knowledge and experience in data science and machine learning is particularly beneficial. Excellent communication and interpersonal skills are essential, along with intellectual independence and a willingness
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of Radiology - University of British Columbia. As a Postdoctoral Research Fellow, you'll play a pivotal role in leading and contributing to the development of a machine learning approach to automate
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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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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 achieve inclusion and fairness
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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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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