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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 24 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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Aquatic and Crop Resource Development (ACRD) Research Centre, providing strategic research direction and visionary leadership to our team. This role leads scientific research focused on developing
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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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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
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of transmission electron microscopes and/or scanning electron microscopes Knowledge of artificial intelligence and machine learning and their applications in electron microscopy Knowledge of computer programming