Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
statistical and machine‑learning (ML) analyses that integrate EHR, genetic, and cardiac imaging datasets for risk stratification, phenotype classification, and outcome prediction. Create publication‑ready
-
that attracting 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
-
teaching theory courses at the undergraduate and graduate level and be able to teach a variety of courses at the undergraduate level. Evidence of prior teaching experience is preferred. Applicants should
-
Sciences, Machine Learning, Mathematics, or a related field—or equivalent qualifications and demonstrated expertise in generative AI. Work Experience: Training in the following areas: Experience: Minimum
-
candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include
-
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
-
. The Committee especially welcomes scholars who focus on China’s role in the world through the analysis of China’s international strategies in the domain of economics, foreign policy, military, and /or
-
to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
-
with others; ability to effectively train students; self-motivated with the ability to work independently; possess a positive and collaborative attitude; willingness to take additional training and learn
-
-unit activity networking (behavioural neuroscience). Topics may also include human–machine interaction in a technologically augmented society, such as cognitive challenges of VR/AR or self-driving