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sensor integration Automated control systems and algorithms Cyber-resilient embedded system design Testing methodologies (Hardware in the loop, software in the loop, etc.) System integration methodologies
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optimization algorithms for complex trial design spaces. Required qualifications: A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science
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REQUIREMENTS The part-time research assistant will design and evaluate routing algorithms for quantum networks. The goal is to improve the probability of establishing end-to-end routing paths by leveraging
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sensor monitoring, actuator and motor control, and algorithms for signal processing, detection, classification, tracking, and decision‑making Develop and integrate autonomy‑related capabilities such as
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computer vision algorithm developers and data scientists to support the integration of machine learning algorithms Derive physics-based and mathematical models where appropriate for validation and
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to understand and automate workflows and improve human processes to advance the discovery and modeling of associations, trends, patterns and system dynamics Collaborate with computer vision algorithm developers
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, signal processing, sound propagation, undersea acoustics, reverberation, sonar arrays, numerical analysis & methods, statistics, autonomy algorithms, and/or computational physics Programming
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on cutting-edge research projects involving design, analysis and implementation of advanced numerical methods and algorithms in interdisciplinary applications. The position includes the possibility
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data-oriented programming languages and visualization software Develop and apply algorithms and prototypes to extract and analyze information from large structured and unstructured datasets that support
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faculty to design computational strategies aligned with research aims Develop novel algorithms, software tools, and analytical pipelines to address emerging research questions Generate high-quality