Sort by
Refine Your Search
-
Category
-
Employer
- University of British Columbia
- McGill University
- National Research Council Canada
- Canadian Association for Neuroscience
- The University of British Columbia (UBC)
- Universite de Moncton
- Université Laval
- European Magnetism Association EMA
- Nature Careers
- Ryerson University
- University of Montreal-CHU Sainte Justine Children's Hospital Research Center
- 1 more »
- « less
-
Field
-
experience in optimization, machine learning, control systems, or robotics is desirable. No other specific qualifications beyond and a willingness to learn within an interdisciplinary team. If you have any
-
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
-
control subjects based on diffusion MRI images and functional MRI responses. Duties include: Developing machine-learning and/or deep learning pipelines for classifying patients of optic neuropathies and
-
construct novel CAR-T cell therapies, including vector design, gene editing, and the development of innovative receptor constructs. In Vitro and In Vivo Studies: Conduct a wide range of experiments to assess
-
centrifugal, digital, capillary, pressure, or microvalve-based microfluidics. Experience in deep-learning and artificial intelligence in the field of microfluidics to support applications such as high
-
National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 3 hours ago
may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact
-
of histone lactylation in microglial innate immune memory View All Stories Further Information For more information, including eligibility criteria and application procedures, please visit https
-
rapid and significant shifts in power consumption, next-generation high-performance computing (HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs
-
) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
-
(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution