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or more of the following: data-driven logistics/supply chain, supply chain analytics, experimental methods, statistical analysis and probability, and/or machine learning/artificial intelligence
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and particularly electrodialysis, chemical processes design and modeling, technoeconomic analysis, water treatment, and analytical methods for characterization of aqueous solutions; excellent problem
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research including, but not limited to, constructing hypotheses, design and planning of research studies, data management, model development, conducting experiments or assessments, analysis and
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, Operations Management, or a closely related field; demonstrated research expertise in one or more of the following: optimization, simulation, data analytics, machine learning, artificial intelligence
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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undergraduate biotechnology education through the development of students’ visual literacy skills, a critical competency for interpreting and communicating scientific information. The postdoctoral researcher
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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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, computational modeling, and data analytics. Experience leading full-scale structural testing. Proficiency in Python or equivalent programming language. Experience with high-performance and high-throughput
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characterization using advanced analytical tools, such as synchrotron, neutron, and laboratory equipment. Experience in data analytics and modeling tools. Special Requirements: Applicants cannot have received
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, Chemistry (i.e., Analytical, Physical), or a related field completed within the last 5 years. Demonstrated skills and hands-on experiences with advanced materials characterization equipment and/or data