52 computer-science-data-wahrn-hous Postdoctoral positions at Oak Ridge National Laboratory
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computer engineering, computer science, physics, chemistry, materials science, chemical engineering, or a related field. Demonstrated ability to communicate research results in peer-reviewed publications and
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data production at next-generation computational facilities enables scientific knowledge discovery but presents a challenge to move, store, and process the data. To maximize their science return
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, systems biology, bioinformatics, bacterial physiology, and analytical chemistry at ORNL and at partner institutions. You will also craft and complete laboratory experiments, analyze quantitative data, and
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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highly collaborative position residing in the Quantum Heterostructures Group in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory
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Requisition Id 14834 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
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Requisition Id 14798 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges
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techniques to control the growth environment and material consistency across the wafer targeting applications in microelectronics and quantum information science. This position resides in the Functional Hybrid
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Requisition Id 14232 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
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. in Biosciences, Bioinformatics, Computer Science, or a related field with a strong emphasis on data management in the last 5 years. Preferred Qualifications: Familiarity with FAIR data principles