Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- University of Toronto
- McGill University
- SAIT Polytechnic
- University of Saskatchewan
- Mount Royal University
- Northern Alberta Institute of Technology
- National Research Council Canada
- Nature Careers
- Dalhousie University
- OCAD University
- The University of British Columbia (UBC)
- University of Waterloo
- Thompson Rivers University
- University of Northern British Columbia
- Canadian Association for Neuroscience
- Ryerson University
- Universite de Moncton
- Carleton University
- European Magnetism Association EMA
- University of Guelph
- University of Lethbridge
- 12 more »
- « less
-
Field
-
. Primary duties include gathering requirements, reviewing business processes, investigating technological solutions, designing and implementing optimal solutions, and managing change processes. Proficiency
-
programming, including researching funding opportunities, suggesting optimal areas for new partnerships, and developing approaches to capitalize on forthcoming funding opportunities. Provides one-on-one
-
the Rio Tinto Centre for Future Materials biomining initiative through laboratory work, protocol optimization, data management, and integration of multi-omic data sets supporting microbial biotechnology
-
, configure, secure, and maintain cyber range infrastructure, including servers, networks, and virtualization platforms. Ensure high availability, optimal performance, and scalability of the cyber range
-
Associates, the Data Engineer plays a pivotal role in managing and optimizing our data infrastructure to support these high-impact research projects. The Data Engineer will be responsible for designing
-
responsible for coordinating events and projects with various stakeholders. Utilizing your strong organizational skills, you will support a range of activities, ensuring the organization and optimal execution
-
, and makes recommendations for optimizing resources and delivery of services. Leads the development of business and implementation plans, policies, standards, and budgets for projects and information
-
rootzone environments, fertigation metrics, and crop performance indicators. Collaborate with horticulture and engineering teams to refine setpoints for environmental control and optimize plant performance
-
, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
-
), with a typical teaching load of four courses per year. Being familiar with big data analytics tools and optimization, simulation, and ERP software would be an asset. This position includes a