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Requisition Id 13079 Overview: Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral researcher who is a highly motivated individual with expertise in the physical metallurgy of ferrous
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support one postdoc for two years. You must first apply for the GTSI postdoctoral fellowship on the ORNL Jobs website. Visit jobs.ornl.gov and search for “ORNL GTSI Program.” Click on the job link and
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Requisition Id 13050 Overview: We are seeking a Postdoctoral Research Associate who will support a growing portfolio of research in large language models, large vision models, model vulnerability
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applicants for a postdoctoral research associate position in energy efficiency and decarbonization for the industry sector. This position augments ORNL's industrial energy efficiency and decarbonization team
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Requisition Id 13044 Overview: We are seeking a post-doctoral researcher who will focus on synthesis of organic and organometallic compounds with applications in harsh environment materials. The post-doctoral researcher will also be involved in developing formulations and processes for...
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Requisition Id 12943 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 solutions to compelling problems in energy and security. Our capabilities span a broad range of...
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Requisition Id 12923 Overview: We are seeking a Postdoctoral Research Associate who will perform materials research in the area of aluminum alloy development for cast and additive manufacturing
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Requisition Id 12994 Overview: We are seeking a Postdoctoral Research Associate who will focus on scientific projects to advance our understanding of quantum materials, primarily using neutron
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Requisition Id 12836 Overview: The Environmental Sciences Division at Oak Ridge National Laboratory (ORNL) seeks a postdoctoral researcher skilled in biogeochemistry to work on a project
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Requisition Id 12983 Overview: We are seeking a Postdoctoral Research Associate who will focus on developing and applying machine learning algorithms relevant to autonomous experimental laboratories