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tensor network algorithm development and application. Competency with common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel
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Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High
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Posting Title Graduate Fall Intern – Modeling and Analysis of Distributed Hybrid Energy Systems . Location CO - Boulder . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR’s
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ground-truth position measurements. You will validate the algorithms through numerical simulations and empirical measurements , while contributing to the development and deployment of a distributed
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computational methods, working with large and heterogeneous datasets, evaluating algorithm performance and uncertainty, and translating research methods into reproducible scientific software and analyses. The
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-agent coordination, autonomous navigation, distributed control, formation control, perception, and decision-making in complex environments. Design and implement data-driven approaches, including machine
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-agent coordination, autonomous navigation, distributed control, formation control, perception, and decision-making in complex environments. Design and implement data-driven approaches, including machine
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scientific data to advance research efforts across scientific systems. Develop and apply federated learning on distributed and heterogenous datasets. Develop more efficient and resilient DP techniques that
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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation