627 data-"https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" positions at University of Toronto
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
involving financial, personal and information systems, as well as provide leadership and direct supervision to administrative support staff within Service Delivery. In this role, you will: Be part of a team
-
implementation of technological information systems, processes, and associated technology to support Faculty of Applied Science and Engineering academic mission and administrative operations. The Faculty
-
outcomes. This will include collecting and analyzing process-related data to identify trends and opportunities, providing insights and recommendations to senior management for process enhancements
-
responsibilities will include: Constructing proof of concept experiments to test different elements of the process while collecting experimental data, verifying results, and passing on findings Preparing draft
-
of high-quality evidence to inform oral health policy, practice, and education. The successful candidate will play a key role across all stages of the research process, including study design support, data
-
. • Knowledge of or experience with pest/nuisance species management (ex. Canada Geese) • Experience with data collection and analysis. • Knowledge and experience using Saskatchewan environmental
-
file systems and records, including scanning, filing, copying documents, and ensuring information is retained in accordance with file retention procedures Processing fellowship applications and related
-
closely with the Dean to inform key priorities and objectives. They are responsible for developing assessment tools, conducting detailed analyses, preparing reports, and communicating information
-
Statement of contributions to Equity, Diversity and Inclusion (maximum 300 words) Current curriculum vitae Names and contact information of three referees Examples of EDI contributions may include leadership
-
Engineering side, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our