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Field
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grant writing. We are looking for someone with a background in computer/data/mathematical science to be dedicated to a project to deliver digital technology, to predict lung health using individual level
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integrity in the design process calls for a technical model of the product concept, i.e., mathematical models of the product and its in-service environment, which inevitably must incorporate the influence
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urban forest management. Develop, implement, and test signal and data processing algorithms to exploit various earth observation data in support of carbon/biomass mapping in temporal and tropical forests
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 12 days ago
. Collaborating with CA-SSN’s diverse ecosystems will provide invaluable input to NASA’s data development process, ensuring that data products are broad enough to support a range of questions while also being
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MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless communications Hardware-constrained signal processing
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different spatial scale levels and the influence of the mode of transport. The starting point is to first investigate the (im)possibilities with existing datasets. The position involves a limited teaching
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: Performs specialized research techniques and procedures related to phenotypic characterization of cardiovascular disease using available signal-based and imaging techniques. Compiles and analyzes data using
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, ensuring compliance with key performance metrics. Work with multi-disciplinary teams, collaborating with digital and mixed-signal designers to co-optimize SoC performance. Engage with industrial partners
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digital signal processing * proficiency in FEM modeling software (Abaqus, Ansys) * experience in machine learning and evolutionary algorithms * documented scientific achievements (lead author of at least
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on human health that are generated when visual and material culture is taken seriously as a starting point. Extending the visual turn taken by medical humanities in the last decade, the Lab aims to build