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position in MR Physics. This successful applicant will help with development of MR imaging methods to study tumor metabolism and response to therapy. The research in the MRRF is focused on the development
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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independently and the initiative to follow new ideas. Motivation to pursue career development opportunities (e.g. applying for Fellowships and Awards, promoting your research, networking, etc.). Strong verbal and
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(https://www.olcf.ornl.gov/frontier ) and plant phenotyping (https://www.ornl.gov/appl ). GPTgp is a pilot project initiated in September 2025 with funding from the US Department of Energy and will
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invites applications for a post-doctoral scholar position focused on the development of high-performance, low-carbon cements and concretes for infrastructure applications. The group leads cutting-edge
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professional references will be requested during the application review stage. The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations
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Organization U.S. Department of Energy (DOE) Reference Code DOE-FES-2026 How to Apply Completed applications are due to be to submitted in Zintellect on January 15, 2026. Applications are reviewed
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facilities, and opportunities for cross-laboratory projects, career development, and national collaborations through the ABA, SHOCK Society, CNTR, ABuRN, and related networks. Certificates/Credentials/Licenses