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, analyze, and interpret experimental results effectively Strong oral and written communication skills, along with a solid publication record and evidence of growing recognition in relevant research areas
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results, and in the development of technical reports and presentations is required. Knowledge of the use of computers to design and control experiments and to analyze and interpret experimental data is
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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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or battery materials testing is recommended but not required. The candidate will design or modify laboratory procedures and protocols, develop experimental designs, run technical experiments, make detailed
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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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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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, 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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techniques, and evaluating mechanical, electrical, and dielectric performance. The researcher is expected to design and execute independent research while contributing to multidisciplinary team projects
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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