14 master-"https:" "https:" "UCL" "UCL" Postdoctoral positions at Oak Ridge National Laboratory in United States
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experiments to neutron reflectometry studies. The main objectives are: (1) To implement fluorescence microscopy techniques and Flicker spectroscopy to studies of DIBs under electrical stimulation; (2) Use other
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, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://jobs.ornl.gov
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: ORNLRecruiting@ornl.gov We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://jobs.ornl.gov/job/Oak-Ridge-Postdoctoral-Research-Associate-TN-37830/1331751500
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, Educational Assistance, Relocation Assistance, and Employee Discounts. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://jobs.ornl.gov/job/Oak-Ridge
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Employee Discounts. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://jobs.ornl.gov/job-invite/15422/ . Postal Mail: 1 Bethel Valley Road Oak Ridge, TN
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to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Benefits at ORNL: UT Battelle
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to ORNL's Research Code of Conduct. Our full code of conduct and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: PhD in
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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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to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications
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APPFL and OmniFed. Major Duties and Responsibilities: Conduct and publish original research focused on data readiness methodologies and frameworks for scalable AI applications across fluid dynamics