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Field
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on the development and maintenance of advanced pulmonary CT image processing algorithms and AI solutions aimed at improving lung disease diagnosis and treatment. This role offers an exciting opportunity to contribute
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languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept to implementation; and performing systems integration and testing
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and testing software in high level languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept to implementation; and
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preferred. Experience utilizing computer vision algorithms and frameworks, including medical image classification, feature matching, edge detection, image segmentation, and deep learning models like
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with C++. Demonstrated experience with Python. Thorough understanding of object-oriented programming concepts, data structures/design patterns/algorithm performance analysis. Understanding
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground magnetic field perturbations Analyze the results using machine learning interpretability techniques
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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. Responsibilities Designing software applications and algorithms to support remote sensing, geospatial data analysis, and data science applications. Conducting software testing, code reviews, CI/CD, and verification
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. Responsibilities Designing software applications and algorithms to support remote sensing, geospatial data analysis, and data science applications. Conducting software testing, code reviews, CI/CD, and verification
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Apply Now Job Summary The Student Research Assistant will support a faculty-led research project examining how algorithmic bias affects social equity in areas such as healthcare, hiring, and