642 parallel-and-distributed-computing-phd positions at University of Toronto in Canada
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
that informatics plays in clinical healthcare. Course Details: Class schedule: Weekly Estimated enrolment: 60 Estimated TA support: based on enrolment - None Qualifications: A PhD or Masters level education
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
. This education and outreach program is designed to assist UTM students and campus community members to have greater awareness of the information, tools, and resources that support people in making
-
note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Minimum qualifications: Completed PhD in
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
statistics, contingency tables, normal probability distribution, and sampling distributions. The second half of the course introduces inferential statistical methods. These topics include significance test for
-
to thoughtfully and conscientiously shape the field of the future. With our robust and comprehensive educational training programs (DDS, MSc, PhD degrees, IDAPP and other specialty programs), our emphasis
-
as required. Preferred Qualifications: include a PhD (in progress) in an appropriate discipline (as above), TESL or CELTA certificate (or equivalent in ESL specialization or development of ESL
-
course (INF2138H – AI in Library Science: Social, Political, Practical Impacts) explores the transformative role of Artificial Intelligence (AI) in the field of library and information science, with a
-
ability to work as part of a team. Flexible availability is a requirement for these positions. Ability to perform duties online as required. Preferred Qualifications: include a PhD in an appropriate
-
enrolment: 40 Estimated TA support: based on enrolment – None Qualifications: PhD or Masters level education in health informatics or related field; A robust understanding of data visualization in health
-
environment. Qualifications Required: Education: University degree required, post graduate degree (master’s or PhD) an asset, or equivalent in education and experience. Experience: Minimum four (4) years