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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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, and fission products through experimental testing and data analysis Prepare test plans and operating procedures, and contribute to technical documentation, reports, publications, and sponsor
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, including community groups, governmental bodies, and private sector entities. Conduct rigorous analysis and develop models for improving the domestic and global resilience of supply chains for energy
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adaptive acquisition strategies that guide beamline measurements in real time to increase efficiency and improve image quality. Advance multimodal analysis methods that align and fuse structural, chemical
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work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery. The appointment is expected to last two years and the contract is
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-based and AI/ML approaches. This position focuses on high-resolution Earth system modeling and the analysis of convective storms and weather and hydrological hazards to improve predictability
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-throughput laboratory systems Proficiency in Python or similar programming languages for data processing, statistical analysis, and integration with AI/ML tools Excellent written and verbal communication
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extraction and analysis of sequencing-based omics data. Experience in bioreactor configuration, inline/online sensor integration, and PID-based process control; familiarity with bioreactor automation systems
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battery systems using techniques such as: thermogravimetric analysis (TGA) TGA-mass spectrometry (TGA-MS) and related methods Broad understanding of materials science concepts relevant to electrochemical
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techniques and strategies for electrochemical measurements and post-mortem analysis. Write reports and high impact papers, and present research at conferences. Develop or support the development