-
developing machine learning algorithms specifically designed for medical imaging applications. In addition, performs analysis of tissue images of cancer using machine learning methods that have been prototyped
-
Science Specialist will: 1) review empirical data and algorithms applied to the price, end-use, fishing effort and layer 3 databases and develop code that imputes missing data to complete gaps in
-
arrangements. Encourage the industrial and academic partners to use UBC’s IntelCut machine tool monitoring system to transfer research algorithms to industry. The engineering activities of IntelCut will be
-
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
-
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
-
coding using R and adeptness in using RStudio for data analysis. Produce comprehensive reports and presentations in PDF and HTML formats using R Markdown. Knowledge of machine learning algorithms
-
reports and presentations in PDF and HTML formats using R Markdown. Knowledge of machine learning algorithms. Proficiency in Canvas and content organization. Excellent communication skills. Responsible and
-
University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 24 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
-
efforts in the Algorithm and Harmonized Data Working Group and other Working Groups/Teams as necessary. Network and Research Administration Facilitates the operationalization of the Canadian Data Platform
-
procedures (e.g., multilevel modeling, longitudinal data analysis, machine learning algorithms), cleaning and structuring large datasets, validating model assumptions, and ensuring reproducibility. Synthesizes