Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Zhu is researching machine learning assisted multiscale computational modeling of particle-laden flows for application to blood flow and targeted drug delivery. Kyle Artelle Earth, Environmental and
-
Zhu is researching machine learning assisted multiscale computational modeling of particle-laden flows for application to blood flow and targeted drug delivery. Kyle Artelle Earth, Environmental and
-
complications and neonatal outcomes; computational biology, machine learning, and predictive modelling; laboratory-based biomarker discovery and validation using maternal and neonatal biospecimens
-
developing or implementing quality control programs or long-term performance monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows
-
Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
applications as PI or Co-PI, patents in the field of AI or machine learning and successful graduate student supervision and prior teaching experience are considered valuable assets. Excellence in scholarly
-
Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
applications as PI or Co-PI, patents in the field of AI or machine learning and successful graduate student supervision and prior teaching experience are considered valuable assets. Excellence in scholarly
-
work at every level of the hardware-software stack, and colleagues in architecture, security, networking, machine learning, and data systems on the same campus. Faculty also draw on research institutes
-
University of Victoria | Victoria Central British Columbia Provincial Government, British Columbia | Canada | 14 days ago
artificial intelligence, machine learning, and multidisciplinary design optimization for the synthesis of next-generation mechatronics and robotic systems. Interdisciplinary applicants and those
-
University of Toronto | Downtown Toronto (University of Toronto / Harbord), Ontario | Canada | about 20 hours ago
: Course Number and Title: STA380H5S LEC101 Computational Statistics Course Description: Computational methods play a central role in modern statistics and machine learning. This course aims to give an
-
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