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, adversarial attacks, and realistic downstream processing such as mixing. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source
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research projects. Data Scientists work in a collaborative interdisciplinary team and play a critical role in AI/ML tooling, features, and improvements for our open-source software systems and
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manipulation under real-world uncertainties. Lead the development, maintenance, and public release of clean, well-documented open-source software repositories (e.g., ROS/ROS2 packages, Python/C++ libraries
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semantics, the development of AI-assisted proof engineering workflows, and the open-source release of specifications, proofs, and verified artefacts. We seek an excellent software engineer to play a
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results [1]. Finally, the release of our newly developed methodologies [2] as open source software (e.g., as a plugin for the Free Energy and Advanced Sampling Simulation Toolkit [3] or for other existing
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scientists to execute autonomous experiments, and advance laboratory autonomy and robotics. RPL develops the open-source Modular Autonomous Discovery for Science (MADSci) software framework for the
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analysis. Research results are often deployed as widely used open-source software and services. The lab’s work is supported by a portfolio of federal and foundation grants spanning biomedical knowledge
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dynamics simulation, preferably developed in open-source environments, to address specific problems in the analysis and design of hydraulic systems and components, and in the application of control
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. They may research, develop specifications for, design, write, modify, test, debug, troubleshoot, document and maintain source code. They will have direct or related involvement in designing related
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scientists to execute autonomous experiments, and advance laboratory autonomy and robotics. RPL develops the open-source Modular Autonomous Discovery for Science (MADSci) software framework for the