Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Description: About us: Home to over 40 departments and institutes, the University of Toronto's Temerty Faculty of Medicine lies at the heart of the Toronto Academic Health Science Network and is a global leader
-
research, ensuring strong scientific and applied impact. Scientific Challenges: This project provides a unique opportunity to address cutting-edge problems in AI and Computer vision, including: Object
-
engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
-
diseases, conditions, or biomarkers. This important role spans biology, engineering, and applied research, with a strong focus on translating science into practical healthcare solutions. You will bring
-
and its precursors while helping shape Canada’s leadership in SKA science and data infrastructure. HAA seeks to grow its expertise in areas that align with SKA science goals, including dark energy and
-
National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 24 hours ago
. The maximum period of employment as an Associate is 5 years. Who can apply You are eligible for the Research Associate Program if you possess a Ph.D. in natural science or engineering or a Master's degree in an
-
Research Support | McKendry Academic Group | Food, Nutrition and Health Program | Faculty of Land and Food Systems Compensation Range $4,567.04 - $5,385.67 CAD Monthly Posting End Date October 1, 2025 Note
-
of electrical engineering, Universite de Moncton (Moncton campus) Email: [mohamed.lamine.faycal.bellaredj@umoncton.ca] Context & Motivation: Because of their extreme computational needs where workloads demand
-
@umoncton.ca]Context & Motivation:Because of their extreme computational needs where workloads demand rapid and significant shifts in power consumption, next-generation high-performance computing (HPC
-
: [mohamed.lamine.faycal.bellaredj@umoncton.ca]Context & Motivation:Because of their extreme computational needs where workloads demand rapid and significant shifts in power consumption, next-generation high-performance computing