133 Materials Science research jobs at Argonne in Ireland-United-Kingdom in United States
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The Emerging Materials program in the Materials Science Division of Argonne National Laboratory is seeking motivated, self-starting postdoctoral scientist candidates to fill an anticipated open
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Requirements Required Knowledge, Skills, and Experience: PhD in Economics, Mining Engineering, Mechanical Engineering, Environmental Engineering, Material Science, Systems Engineering, Logistics/Supply Chain
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Argonne National Laboratory in Lemont, IL is seeking a Postdoctoral Appointee in our Material Sciences Division. This postdoctoral position is for modeling of neutral and charged polymeric materials
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interdisciplinary team, the candidate will work closely with both the Quantum Materials group within the Materials Science Division of Argonne National Laboratory and the Q-NEXT Argonne Quantum Foundry. Your
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Quantum Information Science Research Center to develop new ideas and seek research opportunities with other scientists at the CNM, Argonne Materials Science Division and the University of Chicago Pritzker
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experimental results is required: TEM and FIB/SEM. Knowledge of materials science principles, theories, advanced characterization techniques, and practices for the design, analysis, and testing of candidate
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The Electrochemical Materials & Interfaces Group with Argonne's Materials Science Division is seeking a Postdoctoral Appointee. The purpose of this appointment is experimental studies on metal
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The Applied Materials Division is seeking a candidate to fill a Postdoctoral position in organic chemistry with a focus on new organic materials for next generation batteries. This position will
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in mentoring graduate and undergraduate students in related research projects. Position Requirements PhD in chemistry, materials science, chemical engineering, or a related field with 0 to 5 years
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Argonne National Laboratory in Lemont, IL is seeking a Postdoctoral Appointee in the Materials Science Division in Computational Materials Chemistry and Machine Learning. The postdoctoral researcher