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The Forest Growth & Yield Lab at the University of Alberta has an open graduate research assistantship at the Ph.D. level in Applied Remote Sensing for assessment of forest resilience, under
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objective is to find the best way to embed simple partial differential equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new
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equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
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experience required to perform the role will include a good working knowledge of fluid mechanics and compressible flow. It will be helpful to have a working knowledge of multi-phase flows in particular
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, qualifications and experience required to perform the role will include a good working knowledge of fluidization, fluid mechanics and compressible flow and an interest in practical design and experimentation. It
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, qualifications and experience required to perform the role will include a good working knowledge of fluidization, fluid mechanics and compressible flow and an interest in practical design and experimentation. It
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experience required to perform the role will include a good working knowledge of fluid mechanics and compressible flow. It will be helpful to have a working knowledge of multi-phase flows in particular
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-tax)- Minimum 28 paid vacation days per year- A collaborative, inclusive team that values not only excellence, but also a good sense of humor 😄- Access to cutting-edge labs, mentorship, and a strong
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measurements, and state-of-the-art optical sensing techniques. Minimum Qualifications: • Ph.D. in Physics, Materials Science, Electrical Engineering, or a related field by the start date. Preferred
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working environment, where there is a sense of community and belonging, balanced with a significant cross section of people from diverse backgrounds working and studying together. The University offers