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Field
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 months ago
. Description: Sensor systems based on high performance infrared (IR) detectors have made significant contributions to NASA’s Earth Science (e.g., observables related to Surface, Biology, and Geology) and
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Position Details Position Description Dr. Juming Tang’s group at the University of Washington has launched a new research program focused on developing novel sensors and AI tools to enhance the transparency
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 months ago
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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sensors (in collaboration with sensor developers, local water utilities and authorities) Interact with stakeholders and end-users in co-creation workshops aiming to identify their monitoring and modelling
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or device prototyping Experience with quantitative measurements and data analysis Ability to work independently, keep clean documentation, and deliver to milestones Background in thermoelectrics, sensors
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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
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photonics sensors in the Silicon Photonics (SiPh) platform. The successful applicant will drive an exciting project on the development of smart optical sensors for environmental monitoring in the oil & gas
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approaches to non-invasively localise ventricular arrhythmias, collectively characterised by the integration of patient imaging and electrical data, with state-of-the-art in-silico modelling and AI-algorithms
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5000 years as a background to the local reconstructions for target sites. This will be achieved using pollen databases, new pollen cores, and the landscape reconstruction algorithm (REVEALS and LOVE
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implementing algorithms based on online Sparse Gaussian Processes and advanced probabilistic techniques enabling AUVs to dynamically alter their trajectories, cutting down on uncertainty and improving efficiency