49 data-mining-phd Postdoctoral positions at Oak Ridge National Laboratory in United States
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scalability and simulation accuracy of quantum computing systems. For more information, visit qscience.org. Major Duties/Responsibilities: Lead and contribute to collaborative research projects involving
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collaborative and open environment? If so, the Oak Ridge National Laboratory’s Learning Systems Group within the Data and Artificial Intelligence Systems section invites you to apply to our new postdoctoral
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a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD degree in physics or related discipline completed within the last five years
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. Basic Qualifications: A PhD in materials science and engineering or a related discipline completed within the last five years. A strong background in physical metallurgy Preferred Qualifications
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to the implementation and perpetuation of values and ethics. Basic Qualifications: A PhD in inorganic, organic, polymeric, or physical chemistry or a closely related field, completed within the last five years. Preferred
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in evolutionary biology, plant biology, genomics, bioinformatics, mathematics, statistics, computer
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Postdoctoral Research Associate - Theory-in-the-loop of Autonomous Experiments for Materials-by-Desi
our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in Condensed Matter Physics, Materials Science, Chemistry, Physics, or a closely related science
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: To be eligible you must have completed a PhD in materials science, chemistry, physics, engineering, or a related field with in the last 5 years. Visa sponsorship is not available for this position
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. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, industrial engineering
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process