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troubleshooting Linux development environment and command line interface, MATLAB, C++, and Python, ROS, with implementations both in ROS1 and ROS2 Computer vision to include clustering-based segmentation algorithms
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seeking a motivated individual to support applied research and development programs through algorithm development and implementation with a focus on signal processing, array processing, beamforming, and
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algorithms. Experience with Machine Learning (ML). Experience with MATLAB MEX objects. Experience with scripting languages (Perl, shell). Demonstrated knowledge in any of the following: parallel computing (MPI
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development for both data analysis and machine learning applications, including data modeling and algorithm development and implementation. Software design, development, and testing to support research and
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or engineering sciences including computer science, electrical engineering, or related discipline. Proficiency working with data algorithms (regression, probability, statistics). Experience with machine learning
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algorithms and analyze data processing results to support the development, evaluation, and improvement of Navy SONAR systems. Participate in the research and development efforts within the Environmental
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examine signal processing algorithms and analyze data processing results to support the development, evaluation, and improvement of Navy SONAR systems. Participate in the research and development efforts
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the Information Science Division of the Applied Research Laboratory (ARL) at Penn State. In this role, you will architect and optimize data systems that empower our data scientists to efficiently research, train, and
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novel quantum systems and algorithms, exploring qubit design, quantum error correction, and scalable computation architectures. The candidate is also expected to contribute to quantum simulation
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Engineering » Chemical engineering Technology » Environmental technology Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 7 Sep 2026 - 23