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, and trace volatiles Advancement of techniques for Imaging and Visualization Under the guidance of a mentor, you may be involved in some or all of the following: Conducting searches of scientific
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this fellowship, you will participate in research projects involving canine biometric data, looking for novel ways to identify and individuate dogs using neural networks, local feature mapping, image classifiers
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gallium nitride MEMS technology. In this specific project the postdoc will help with developing a thermal infrared imaging micro-instruments working at 500C using GaN based acoustic and micromechanical
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retrieval algorithm development with focus on using the polarimetric signals, the new FIR or sub-mm bands, and/or the ML/AI approach; (3) ML/AI application on system/pattern tracking on satellite images
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. Description: Imaging spectroscopy presents a new window on terrestrial ecosystem function and biodiversity, allowing remote sensing to progress from studying greenness to observing a key dimension of diversity
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be in English or include an official English translation. If you have questions about the application process, contact NETLinfo@orau.org . After you have submitted an application in Zintellect, you may
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process, contact NETLinfo@orau.org . After you have submitted an application in Zintellect, you may reach out to internship.program@netl.doe.gov to request to talk with the hosting researcher if you would
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management of field plot trials, data collection, and database management. Experience in large data analyses Experience with operation optimization Experience with machine learning, image analysis Experience
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Imaging System (E-THEMIS) will measure global, regional and local surface temperatures at three thermal infrared wavelengths under various conditions of local time and emission angles. These data will
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machine learning, image recognition, and prediction of damage to tree nuts from insect pests. They will also collaborate with other team members on statistical analysis of data collected as part of