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may be eligible for an exception to this work arrangement. To learn more, please contact the hiring team, using the contact information below. Discover the possible Anything is possible at the National
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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
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to their communities and you 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
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their doctorate at the time of appointment) to explore their science interests within an inclusive environment for active research, learning and service. NRC Herzberg will provide the experience, support and
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to their communities and you 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
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. To learn more about these options, please contact the hiring team using the contact information below. Discover the possible Anything is possible at the National Research Council (NRC), recently named one
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eligible for an exception to this work arrangement. To learn more, please contact the hiring team, using the contact information below. Discover the possible Anything is possible at the National Research
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to their communities and you 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
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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 hiring
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, please see Degree equivalency Experience Candidates should have experience in the following areas: Experience with Bayesian modelling and inference. Experience characterising machine learning models in