Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
Staff - Union Job Category CUPE 116 Job Profile CUPE 116 Hourly - Research Assistant /Technician 2 Job Title Research Assistant - Machine Learning and NLP Department Research | Abdul-Mageed | School
-
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
-
recruiting two postdoctoral fellows in computational psychiatry focusing on Real-World Applications of Artificial Intelligence (AI) and Machine Learning (ML) on Health Data (e.g., claims, prescriptions
-
: 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
-
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
-
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
-
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
-
for data processing, statistical analysis, and machine learning. The Candidate will engage in research, applying these methods to MEG and EEG data to explore their relationship with structural brain changes
-
operations such as file management, navigating software interfaces, using keyboard shortcuts, and understanding basic terminology. Some work may involve in collecting data from websites, and accurate and
-
of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and