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surface, aerosols, clouds, and climate change. In-house capabilities include design and development of novel airborne instruments for aerosol, cloud and trace gases systems. For the past year, we hosted a
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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: This work focuses on ultrasensitive detector design, fabrication, characterization, and integration into instruments for ground-based, airborne, and space-based astrophysical investigations
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include remote sensing algorithm development, modeling studies, data fusion, sensor development, and/or snow satellite mission concept studies. Participation in the design and execution of field campaigns
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proposals are encouraged in the areas of: 1) Land-ocean interface 2) Land vegetation phenology and climate teleconnections 3) Quantification of source-sink circulation patterns, ocean and land carbon uptake 4
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technologies we are pursuing use doped silicon, superconducting transition edge sensors, and magnetic calorimeters. We are also expanding the capability of these devices by optimizing pixel design for specific
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academic and professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: Gaining experience in the design of sensors using
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accumulation rates: • Data science • Computer science • Statistics • Machine learning • Artificial intelligence • Database design Location: Goddard Space Flight Center Greenbelt, Maryland Field
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the different scatterometers compared differently to the model winds. These discrepancies have geographical patterns that suggest differences in the estimated large-scale atmospheric circulation and differences
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and comfortable with IDL. Development of the infrastructure of the Nanograindb database by taking into account the needs of the astronomical community and by using PAHdb as a blueprint. Create libraries