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seeking a motivated individual to support and potentially lead research and development tasks relating to data science, machine learning, and algorithmic development related to RF networks. This may include
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underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL). Responsibilities Design, implement and test real-time and
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inversion of well logs acquired along arbitrary well trajectories, (b) in-well and inter-well formation evaluation, and (c) multi-core and parallel processing algorithms. Develop multi-well, formation
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analysis tools in a production language including underwater propagation models, signal processing algorithms, array processing techniques, acoustic analysis tools. Process and/or analyze acoustic data
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personnel in support of unique underwater sensors and networked common computing systems. Responsibilities Conduct project business planning, scheduling and execution for the development, testing, integration
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Learning in a broad sense. Particular areas of interest include, but are not limited to, development and analysis of machine learning models for scientific computing, theory and algorithms for sampling
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between biological and artificial intelligence, and/or use statistical ML algorithms and modern AI to solve fundamental problems in basic neuroscience and/or neuroscience-related healthcare. Other areas
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to ensure reliable operation of observing systems. Performs preventive maintenance and calibrates electronic, electrical, and electro-mechanical controls and sensors to prevent failures, ensure the observing
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Demonstrated experience with software requirements and specifications Hands-on experience with image processing or computer vision algorithms and tools Excellent written and verbal communication skills Proven
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through advances in statistical and mathematical AI and ML theory and algorithms. Examples of topics of interest include: statistically-principled methods for uncertainty quantification; operator learning