725 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" positions at University of British Columbia in Canada
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
in a timely fashion is a must. Attention to detail is critical. Computer experience and the physical ability to lift and carry materials up to 25 kg are required. Performing other related duties as
-
assessments, environmental scans, and stakeholder consultations to inform program development. • Evaluate the effectiveness of programs and initiatives through surveys, feedback, and performance metrics
-
Gravitational-wave Astrophysics Infrastructure Network (GRAIN). GRAIN is a multi-million-dollar national infrastructure project that will build detector hardware and computing infrastructure to enable
-
also works in close collaboration with CMMI investigators, bioinformaticians, laboratory personnel, and research staff. The position will provide technical supervision and mentorship to computational
-
to support program operations in accordance with requirements from funding partners. Identifies budget recovery and cost sharing opportunities and ensures financial efficiencies. Manages multiple diverse and
-
. WORKING CONDITIONS: Work will be performed at the UBC Okanagan where access to telephone, computers, office furniture and other necessary equipment will be provided. Work can also be completed from home
-
Department hosts at least 10 Honorary Research Associates, as well as a number of Visiting Professors and Post-Doctoral Fellows. The program has over 70 graduate students (MA and PhD), and approximately 3,500
-
, engineering, social sciences, humanities and health fields. Lab to Market stems from the Government of Canada’s commitment in Budget 2022 to launch a new national program to help students and researchers take
-
levels of senior administration, government agencies and university personnel. Ability to cultivate constructive media relationships and partnerships. Solid computer experience and familiarity with
-
judgment and independent analytical decision-making in the design, implementation, and validation of computational research methods. Errors in data analysis, algorithm development, or interpretation