Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- McGill University
- University of Toronto
- University of Saskatchewan
- Thompson Rivers University
- Northern Alberta Institute of Technology
- SAIT Polytechnic
- Carleton University
- Dalhousie University
- University of Lethbridge
- Mount Royal University
- Canadian Association for Neuroscience
- National Research Council Canada
- Ryerson University
- The University of British Columbia (UBC)
- Nature Careers
- University of Victoria
- Memorial University of Newfoundland
- University of Waterloo
- 9 more »
- « less
-
Field
-
Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Statistical Sciences
Department: Department of Statistical Sciences Campus: St. George (Downtown Toronto) Description: The Department of Statistical Sciences in the Faculty of Arts and Scienceat the University of Toronto invites
-
About the Position Field of Specialization: Data Science and Analytics Academic Unit: School of Mathematics and Statistics Category of Appointment: Preliminary (tenure-track) Rank/Position Title
-
Instructor - Technology Literacy & Financial Math & Statistics Alberta, AB Academic – Academic Services / SAFA Casual – Approved Program / On-site Apply for this job Academic Services is focused
-
: Introduction to descriptive and inferential statistics, focusing on building confidence and intuition in using and manipulating quantitative information. Correlation, t-tests, chi-squared tests, and bivariate
-
(EPIB 613) Fall 2024 EPIB 613 Introduction to Statistical Software (1 credit) Fall 2024 Introduction to statistical software and fundamentals of data management – data entering, manipulating data and
-
at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Business Statistics
-
(EPIB 507) Fall 2024 EPIB 507 Biostatistics for Health Sciences (3 credits) Fall 2024 Epidemiology and Biostatistics: Basic principles of statistical inference applicable to clinical, epidemiologic, and
-
, ensuring that all information is appropriately de-identified to maintain participant confidentiality. 3) Perform Descriptive Statistics: The RA will analyze the quantitative survey data to generate
-
team, first, to create a suite of programs, algorithms, and data components which will compile the Laboratory from existing Statistics Canada and Canadian Institute for Health Information in Statistics
-
, chemical transport models, uncertainty and risk analysis, and programming and software development. Experience in statistical analysis and programming (Fortran, Python, Matlab, C++, and experience in shell