Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, community outreach, and spaces for study and social interaction, New College fosters a rich learning environment in which students can broaden their perspectives, build connections across fields, and prepare
-
personnel and service workers that provide trusted services and stewardship in support of teaching, learning, and discovery. This team is responsible for operations, maintenance, service, utilities
-
. Experience developing, curating, designing, or coding innovations, or participating in digital health initiatives. Experience with programming languages, machine learning, or health informatics would be
-
expertise in fire behaviour and climate modelling, remote sensing, and machine learning to a multidisciplinary research program that spans prescribed fire operations, fire behaviour modelling, IoT sensor
-
courses. The department’s greatest current needs are in operating systems and computer architecture, and applicants with expertise in these areas will be given preference. We also welcome applicants with
-
Software and AI Research Assistant with experience in machine learning and medical imaging. This position entails performing research and analysis, conducting analyses, assisting researchers and principal
-
on investigating, analyzing and writing up projects related to building a program for speech-based monitoring of neurodegeneration using behavioural and neuroimaging datasets combined with machine learning
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
Minimum Qualifications Doctorate or advanced degree in biostatistics or similar quantitative field, experience with machine learning, fluency in R statistical language Preferred Qualifications Same as
-
and sustaining a diverse 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
-
specific focus on financial markets and systems. Students will engage with predictive modeling, machine learning algorithms, and statistical analysis tailored for environments where data is continuously