Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
multi-disciplinary team of researchers, and will be expected to participate in other projects to ensure a well-rounded post-doctoral training. Education PhD in Computer Engineering, Computer Science, or a
-
A confluence of technological milestones in detector, computation and machine learning development, both globally and within the NRC, makes high-speed non-linear wavefront sensing for Astronomy
-
of cellular behavior to advance gene and cell therapies — including CAR-T cell therapy and muscle stem cell regeneration. The successful candidate will apply machine learning, statistical modeling, and single
-
compression testing UV–Vis spectroscopy Surface profilometry Optical microscopy Scanning electron microscopy (SEM) Experience using or working with machine learning / AI approaches for materials development
-
for an exception to this work arrangement. To learn more, please contact the hiring team, using the contact information below. While the official location of work for this position will be an NRC facility within
-
at developing multi-element alloy (MEA) solutions for future hydrogen storage tanks, focusing on both material properties and manufacturability. The project involves (1) leveraging machine learning and artificial
-
PDF, Dev of new porous transport layer architectures for Proton Exchange Membrane Water Electrolysis
with graduate students, technical officers, and machine learning scientists to design, evaluate and intelligently optimize PTLs with innovative structures, delivering design guidelines for next
-
, seminars, and workshops. Translate findings for diverse audiences while maintaining scientific rigor. Qualifications: PhD in artificial intelligence, machine learning, cardiovascular medicine, genomics, or a
-
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 the NRC
-
Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | about 2 months ago
program at The Hospital for Sick Children, University of Toronto, and the Vector Institute. Our research group focuses on developing machine learning-based pipelines that leverage generative models and