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ongoing and future research initiatives. Position Requirements PhD degree in chemical engineering, electrical engineering, environmental engineering, or a related field with 0 to 2 years of experience
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the national and international levels. The appointment can be extended up to three years and is based at Argonne. Position Requirements The candidates must have received a PhD degree in electrical engineering
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to collaborators and sponsors, journal publications, and conference presentations. Position Requirements PhD degree in chemical engineering, environmental engineering, industrial engineering, mechanical engineering
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collection of cutting-edge hardware. Position Requirements Required Skills: Recent or soon-to-be completed PhD (typically completed within the last five years) 0-5 years of experience in computer science
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. Position Requirements Candidates must hold a PhD in Economics or Engineering. If the candidate possesses a PhD degree in Engineering, they must also have a Master's degree in Economics. Knowledge of energy
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growth of clean energy technologies. Support communication and engagement with stakeholders from communities, government and private institutions. Position Requirements PhD in Economics / Resource
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literature. Position Requirements A PhD in Materials Science or a related field is required. Ability to code in Python and working knowledge of large language model is required. Experience with literature data
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the synthesis and characterization of the structural, electronic, and/or magnetic properties of inorganic quantum materials, including air-sensitive compounds. (PhD must have been received within the last 3 years
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typically achieved through a formal education in mechanical engineering, chemical engineering, materials science, nuclear engineering, or related field at the PhD degree level with zero to three years
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at Argonne National Laboratory. Position Requirements Required skills and qualifications: A recent or soon-to-be-completed PhD. (typically in the last 0-3 years) in computer science, materials science