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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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compressed gas supplies including cylinder ordering and return following safe procedures Managing gas compressor and associated membrane nitrogen generator including minor maintenance tasks and coordination
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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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literature underlying the molecular and cellular mechanisms associated with the mammalian somatosensory system is desirable. We seek candidates who embrace and reflect diversity in the broadest sense
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in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply. Qualifications Application Instructions