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Field
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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
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formulations with PFAS-free binders, in line with the sustainability goals of the project. You will explore compositions and pellet morphologies to optimize mass transport and reactivity with the mediator
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optimization of welding and AM consumables and structural alloys; prepares research results for technical reports to sponsors and for scholarly publications; prepares presentations on relevant research findings
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 7 hours ago
work ethics to meet the project deliverables quarterly. Primary Tasks: (1) Conducting cathode materials synthesis and scaling up to meet the project goal. (2) Designing and optimization of the reactor
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projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and national
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the development and optimization of products for a variety of industries from automotive to aerospace made from new bio- and waste-derived plastic resins and fillers. The ideal candidate for this role would be
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also involve the development and implementation of targeted and higher-throughput drug-discovery screening approaches, including assay optimization, compound testing, quantitative imaging, and validation
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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
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Assistant (RA) or a Postdoctoral Research Associate (PDRA). The appointed candidates will support advanced research initiatives focusing on systems design, distributed systems, and algorithmic optimization
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focused on Artificial Intelligence (AI)-driven retrosynthesis and reaction prediction. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic