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Field
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Scheduled Hours 40 Position Summary Performs innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing that data. Assume major responsibility
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and algorithms to analyze complex data from X-ray, electron, and neutron experiments. This role involves research and development in combining advances in Fourier analysis, optimization, machine
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360 Algorithm Design F 2025 LOCATION Downtown Campus Schedule TR
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algorithms, bioinformatics, computer vision, human-computer interaction, machine learning, computer graphics and VR, cyber-physical systems, computer networking, and cybersecurity. Required materials include a
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advanced deep learning algorithms for generative modelling and large multimodal models. Candidates are expected to have a strong background in relevant areas Job Responsibilities: To independently undertake
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on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate
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algorithms for dynamic structured data, with a particular focus on time sequences of graphs, graph signals, and time sequences on groups and manifolds. Special emphasis will be placed on non-parametric
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algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections
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Science; Software Engineering; Systems & Networks; Extended Reality (XR), AR/VR, and Immersive Technologies Security / Digital forensics; Algorithms. Supervise final year projects and capstone projects
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 days ago
(Introduction to Software Engineering), CPSC_V 314 (Computer Graphics), CPSC_V 317 (Introduction to Computer Networking), CPSC_V 319 (Software Engineering Project), CPSC_V 320 (Intermediate Algorithm Design and