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. Given the medicinal chemistry–driven nature of this project, we are specifically seeking a candidate with documented experience in lead optimization, including structure–activity relationship (SAR
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
above-ground biomass, with a design that can readily incorporate new inputs (for example SAR) and new outputs (for example fuel categorization). The work explicitly leverages NASA's Foundation Model
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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potential. Given the medicinal chemistry–driven nature of this project, we are specifically seeking a candidate with documented experience in lead optimization, including structure–activity relationship (SAR
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relationship (SAR) campaigns and scaffold development Collaborate closely with biologists to translate compounds into cell-based and proteomic assays Mentor graduate students in chemical synthesis and
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monitoring severe weather events. Radar images, especially those of the PPI (Plan Position Indicator) and SAR (Synthetic Aperture Radar) types, often present significant challenges that compromise
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radar (SAR) was launched on 29 April 2025 and recently finished its commissioning phase. This 5-year ESA Earth Explorer mission will produce much-needed global forest biomass data using its polarimetric
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Position Indicator) and SAR (Synthetic Aperture Radar) types, often present significant challenges that compromise their interpretation, including speckle noise, attenuation effects, altitude variations, and
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UnitedKingdomTime) Position Description: Apply Position Description We invite talented and motivated applicants for PhD and Postdoc positions in the group of Haowei Xu (https://www.haoweixu.com/ ) at the Department
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maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data