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Field
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, and optimize biomass pyrolysis/gasification reactors for clean energy production. Process Optimization: Investigate reactor parameters, feedstock behavior, and thermodynamics to enhance yield
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
optimize therapeutic strategies, and (2) developing AI-powered analytical platforms to support patient-centered biomedical research. Current projects involve building computational frameworks for multi-omics
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Engineer (RSE) who can contribute directly to the core of Dataspaces (written in C/C++) and support the integration and deployment efforts including containerization, automation, and system-level optimizations
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space-based astronomical image slicing spectrograph. The goal is to create and apply a 'digital twin' of the as-built system to simulate and optimize its performance. Key responsibilities include
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, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate will design and implement differential privacy
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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute
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integer optimization programming, energy-related techno-economic assessment, and geospatial modeling methods and tools. Applicants should have strong, demonstrated research ability, and excellent English
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techniques. Preferred Qualifications: · Demonstrated ability in the design and optimization of synthetic strategies and approaches for the production of lipids and/or polymers · Proficiency with the analytical
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and