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machine learning algorithms. It also serves as a foundation for more advanced ML courses. The students will learn about ML problems (supervised, unsupervised, and reinforcement learning), models (linear and
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on Wednesdays and Fridays 11:35-12:55 and labs Mondays 15:35-17:25. This course includes an Introduction to problem-solving methods and algorithm development. Emphasis is on designing, coding, debugging, and
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360 Algorithm Design F 2025 LOCATION Downtown Campus Schedule TR
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 18 hours ago
metabolomics] research, with experience in the use of techniques in machine learning, statistics, algorithm engineering, bioinformatics, or advanced data visualization. Evidence of effective participation and
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: Course number and title: MIE1624F/S – Introduction to Data Science and Analytics Course description: The objective of the course is to learn analytical models and overview quantitative algorithms
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of the Guo lab is to define fundamental principles governing the functional wiring of the brain. Toward this goal, we are focused on primary cilia, signaling antennae of almost all cells in the brain. Long
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technical subjects such as programming, data science, machine learning, and algorithmic fairness is highly desirable. Candidates must have teaching experience in a degree-granting program, including lecture
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of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . HuMBL, a research lab within the SBME, specializes specifically in wearable sensor technologies and algorithm-driven health analytics to enhance
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will design and implement scalable software infrastructure and data processing software for CHIME's massive datasets. The role includes algorithm development and data analysis of cosmology datasets
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, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and modeling. Familiarity with rheological characterization techniques, such as rheometry or viscometry