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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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, offering unique opportunities to design, synthesize, and characterize NV diamond sensors tailored for demanding experimental environments. The postdoctoral researcher will drive the integration
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safely handling air sensitive chemicals Demonstrated problem-solving and innovation skills Strong organizational and critical thinking skills. Able to prioritize and manage time effectively. Ability
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. This role offers the opportunity to contribute to cutting-edge energy storage research through the design, evaluation, and development of next-generation battery materials and cells. Under the direction of a
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-dimensional (2D) nanomaterials into structural and functional composites designed for next-generation energy technologies. The position combines fundamental materials synthesis, advanced characterization
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device-relevant properties Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in
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solid electrolytes. We are seeking candidates who will be able to design experiments and develop methodologies to design material compositions, ink rheological properties, and coating and drying process
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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning
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High Energy Physics Division, the successful candidate will contribute to the design, fabrication, and characterization of superconducting devices based on microstrip-coupled TES technology, with
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Responsibilities : Spearhead the research and development of predictive models and strategic tools designed to support decision making in strengthening both domestic and international supply chains, particularly