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Support for testing, data analysis, and data display Contribute to the research and development of unique algorithmic solutions for a wide array of sponsor requirements, with a focus on machine learning and
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, perform and oversee complex Sonar designs while working closely in collaboration with other departments/groups, both internal and external to ARL, that develop processing/algorithms, transducers and arrays
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quantum algorithms for quantum many-body physics. A PhD in Physics is required. The ideal candidate will have numerical simulation skills with exact diagonalization/quantum-circuit techniques and/or
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assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor’s complex problems
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offers an excellent learning opportunity for someone looking to develop skills in computational biology, algorithm development, and AI applications in biological research. Responsibilities: Assist with
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(ARL) at Penn State. You will assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions
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creation of processes and algorithms to transform traditional GEOINT and open-source data into spatiotemporal information describing places, events, and activities Combine full spectrum source data with
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dwarfs and/or the high-precision RV survey of solar-type stars being conducted with the NEID instrument on the WIYN 3.5m telescope; (2) improving technology, algorithms, and data analysis to mitigate
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for storytelling; working with large datasets, APIs and public records; AI tools in news production and distribution; algorithmic accountability and transparency reporting; automated journalism and content
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. Programming skills (Python etc.) required and interest in learning about data and algorithmic privacy Requirements, qualifications, and/or competencies: Must apply with a CV and it is for a project in data