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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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aircraft are closely monitored to see if a soot-CCM effect can be predicted. What you would be doing: You will acquire in-situ and remote-sensing data of cirrus forming downwind of flights over the past
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effect can be predicted. You will acquire in-situ and remote-sensing data of cirrus forming downwind of flights over the past decade, along with measurements/estimates of local conditions and emissions
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remote sensing surveys, material studies, and geoarchaeological and archaeometric sampling. Examples of current fieldwork by the Regato team are available on this webpage: https://www.knir.it/en
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, Water Quality, Water Resources Management, Agriculture, Remote Sensing, Electronics, Artificial Intelligence, Computer Science, Civil Engineering (Structure and Geotechnique), Mechanical Engineering, and
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of equity, diversity, and inclusion and will assist us to expand our capacity for diversity in the broadest sense. In addition, to correct the conditions of disadvantage in employment in Canada, we encourage
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for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant
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for nutrients and algal toxins, and household survey data. The additional integration of remote sensing data is also highly desirable. The postdoctoral fellow will pursue established questions, and will also have
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balloon system and assisting with UAV/floating balloon operations. Analyzing in situ data (holographic imagers) and ground-based remote-sensing data (cloud radar) to derive ice crystal growth rates via
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/ML for (a) human-autonomy teaming, (b) autonomous navigation & control, (c) supply-chain optimization, (d) remote sensing, (e) cybersecurity in autonomous aviation. These pillars align with AAE’s