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Field
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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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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from a theoretical point of view and conduct empirical analysis. In particular: Developing a theoretical framework for exnovation that guides empirical research. Conducting, analyzing, and interpreting
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 28 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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to excellence in research, education, and innovation. Our research spans Internet of things, machine learning, signal processing, to digital twins, all with a strong emphasis on high impact research and societal
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processing. Proficiency in programming languages such as Python, MATLAB, or Java/Kotlin (for Android). Passion for innovation in digital health, fitness, and rehabilitation. Preferred Qualifications Background
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Astronomical Signal Processing (BASP ) laboratory at Heriot-Watt University Edinburgh (HWU ), headed by Professor Yves Wiaux, is recruiting a postdoctoral researcher in computational imaging. The BASP laboratory
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point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation