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your PhD in computer science or engineering, the physical sciences, or a related field within the last five years. Comprehensive programming proficiency, preferably in Python. Experience with machine
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The Environmental Science Division at Argonne National Laboratory is seeking a postdoctoral researcher to join a project aimed at improving model representations of carbon cycling and greenhouse gas
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for quantum information science, but many open questions remain regarding how to control the morphology and crystallinity of these host materials for exemplary performace as hosts for optically addressable spin
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the Interfacial Processes Group (Chemical Sciences and Engineering Division), will use a combination of synchrotron X-ray based tools (e.g., X-ray reflectivity, tomographic imaging, x-ray diffraction, spectroscopy
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The Chemical Sciences and Engineering Division is seeking a highly qualified and motivated postdoctoral researcher to join our team in the area of light-matter interactions, with a particular focus
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processes. The successful candidate will write publications and make presentations of the results at conferences and meetings. Position Requirements PhD in Aerospace Engineering, Mechanical Engineering
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achieved through a formal education in chemical engineering, mechanical engineering, or a related field at the PhD degree level with zero to five years of experience or equivalent in the scientific
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, you must have obtained your PhD in computer science or engineering, the physical sciences, or a related field within the last three years. Comprehensive programming proficiency, preferably in Python
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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scholarly work or industry experience in economic and supply chain analysis, computational modeling, or policy analysis. Excellent oral and written communication skills in scientific and engineering contexts