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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
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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
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 13 hours ago
annual Ph.D. recruiting rate is $83,985. 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 engineering
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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
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resilience and sustainable forest stewardship in the face of global changes.Support includes a competitive funding package, and also includes: designated lab/office space, computer and software, conference
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related to building performance, energy analysis and/or data science may be considered an asset. For information on certificates and diplomas issued abroad, please see Degree equivalency Experience
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materials, participate in lab meetings and contribute to the scientific discussion. Position Summary: Assist with the design and execution of neuroscience experiments (in vitro or in vivo) Perform routine
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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
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@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
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: [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