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to characterization of phenomenology that govern underwater acoustics, identification of novel mathematical and computational signal processing algorithms, and M&S of sonar array performance in complex environments
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the Signal and Information Sciences Laboratory (SISL). Responsibilities Developing algorithms and software applications in Python and C++ to support remote sensing, geospatial data analysis, and computer
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work experience with social media platforms, algorithms, and analytics tools. Experience with social media management tools such as Hootsuite, Sprout Social, or equivalent. Excellent communication
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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algorithms, web applications, cybersecurity, and topics related to artificial intelligence, computer systems, and UI/UX. We have opportunities to teach classes dedicated to CS majors as well as classes
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(and other geophysical techniques) forward and inversion modeling. Write professional-level codes/algorithms. Publish quality research results in peer-reviewed publications and presentations. Participate
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the Signal and Information Sciences Laboratory (SISL). Responsibilities Developing algorithms and software applications in Python and C++ to support remote sensing, geospatial data analysis, computer vision
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using high spatial resolution satellite imagery Exceptional written communication abilities Strong programming experience Familiarity with machine learning algorithms (e.g., DCNN, XGBoost, SVM, Neural
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across the country, is currently building a comprehensive web app and mobile app data collection tool, developing machine learning algorithms to sense psychological states in daily life, and sending
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). Outstanding candidates who work in the foundations of AI and machine learning will be considered. Research topics include developing novel tools in generative AI, advancing algorithmic and statistical methods