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discipline, supplemented by at least 15 years of experience that includes demonstrated accomplishments in scientific leadership and research management. • Demonstrated track record in defining strategic
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a strong track record in both fundamental and applied catalysis Knowledge in homogenous and/or heterogenous catalysis; mechanistic and kinetic studies; advanced characterization (e.g. X-ray adsorption
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continual learning, active learning, reinforcement learning, closed-loop learning, or human-in-the-loop AI workflows. Experience with agentic AI frameworks, tool-using LLMs, workflow orchestration, AI
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of transportation including off-road, rail & marine applications too. These projects involve close collaboration with industrial and academic partners, and engagement with multidisciplinary project teams
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field at the Ph.D. level with zero to five years of employment experience. Demonstrated experience in leading research initiatives, with a strong track record of publishing in peer-reviewed journals
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+ years’ experience. Demonstrated proficiency with EPICS. Experience with C/C++, Python, Linux, and PLC-based systems is highly desirable. Proven track record in the design, deployment, and commissioning
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scientific problem solving as evidenced by publications and recommendations. Proven track record showing the ability to carry out independent and collaborative research in a multidisciplinary team while
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considered). A proven track record demonstrated through journal publications and patent applications. Skilled communication skills at all levels of the organization. Ability to work in a team environment
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team and contribute to IDEAS (Intelligent Data Exploration Assistant for Science), a multi-year research effort focused on developing AI-powered visualization systems that enable interactive, human-in
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implementing the scientific research, and for reporting relevant results in an appropriate form. The successful candidate should be highly motivated for research excellence and have a strong track record in