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Field
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prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training. Plan, run and analyze pilot
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for distributed AI systems. Contribute to the design, integration, and validation of software modules across cloud, edge, and simulated environments. Undertake benchmarking, simulation, and performance testing
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Required Skills and Abilities Demonstrated ability to manage and analyze large, multi-modal datasets. Familiarity with cloud computing environments (e.g., Google Cloud) and version control (Git/GitHub
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of Washington Labor Relations website: https://hr.uw.edu/labor/about-labor-relations . Duties and Responsibilities Participate in and/or lead research and technology transfer activities, including but not limited
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labs working on research at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu . Business, the global economy, and societies around the
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/knowledge graphs, and carbon accounting. The Research Fellow will help develop and lead the CognitionX Lab (https://cognitionx-lab.github.io/ ) with Dr. Jinying Xu, Assistant Professor and Director of
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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-sensor synchronization, cloud infrastructure, and secure file transfer prior experience of clinical / health technology-oriented projects Your benefits You will have access to the university’s staff
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astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data management