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logistics. The research activity will develop models and algorithms that exploit communication infrastructure and data availability, enabling the optimization of the required resources. In the case
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systems. Specifically, the research will propose an integrated framework that will couple two core components: 1) advanced algorithms to optimise participation of HPPs, or more generally of VPPs integrating
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. Design, develop, test, benchmark, deploy, and tune agentic AI software frameworks and multi-fidelity optimization algorithms to close the feedback loop for automated scientific discovery. Deploy, optimize
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) imaging instruments and quantitative calibration protocols. Optimization of μXRF data acquisition protocols to maximize signal complementarity. Participate in the development of algorithms to optimize HMSPL
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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algorithms for analyzing single-cell (multi)-omics data and design and perform in silico experiments to test them; be an active and responsible member of the research group and collaborate closely with fellow
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 6 hours ago
the unique nature of clinical medical data with low disease prevalence and difficulty obtaining ground truth data. Major regulatory science gaps include lack of methods for AI algorithm training with limited
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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-specific data structures (e.g., linked lists, dictionaries, classes and objects). Ability to leverage standard algorithms and patterns when writing code. Ability to write good test cases and automated unit
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safety and computational social choice and develops formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research