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Field
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, the job involves developing algorithms for embedded systems that are designed to produce sensing and computation on the image plane, and on understanding the best ways to distribute visual computation along
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support to faculty and administrative staff. Continuously monitors OIRDS applications and program scripts to distribute workloads efficiently across servers, ensuring optimal system performance. Implements
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generation of distributed software infrastructure for JGI, represent the JGI in relevant reviews, national and international activities, and within the broader DOE National Laboratory system. The JGI 's
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physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals
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Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes
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of fairness, safety, and privacy in digital technologies. Key Responsibilities: Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working
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the next generation of distributed software infrastructure for JGI, represent the JGI in relevant reviews, national and international activities, and within the broader DOE National Laboratory system
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
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grow the computer science and distributed infrastructure aspects underpinning AI4Science at scale. In addition, the incumbent will be mentored and work with CSD Leadership, participate in building core
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of prior data?) Additional research topics may include: Algorithmic Transparency and Fairness in Funding Decisions Comparative Analysis of Funding Models AI-Driven Predictive Analytics for Funding Success