27 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "Inserm" "Inserm" "Inserm" Postdoctoral positions at Oak Ridge National Laboratory in United States
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accepting applications for this job through MathJobs.Org right now. Please apply at https://jobs.ornl.gov/job/Oak-Ridge-Postdoctoral-Research-Associate-TN-37830/1319064500/ . Postal Mail: 1 Bethel Valley
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through MathJobs.Org right now. Please apply at https://jobs.ornl.gov/job-invite/15422/ . Postal Mail: 1 Bethel Valley Road Oak Ridge, TN 37830 Web Page: http://jobs.ornl.gov
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through MathJobs.Org right now. Please apply at https://jobs.ornl.gov/job-invite/15420/ . Postal Mail: 1 Bethel Valley Road Oak Ridge, TN 37830 Web Page: http://jobs.ornl.gov
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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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research, each year carrying out more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences. To learn more about Neutron Sciences at ORNL, please go to this link: http
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. To support ORNL strategic research and development activities at the Manufacturing Demonstration Facility (MDF) (https://www.ornl.gov/facility/mdf/ ), we are accepting applications for Postdoctoral Research
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coding (Python) for building energy modeling and controls Preferred Qualifications: Expertise in modern optimal control techniques (e.g., AI based controls) High level of competence in coding and scripting
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those skills to a variety of problems, and the ability to determine and understand the broader context of his or her research. Preferred Qualifications: Proficiency in multiple modern coding languages is
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standard (version control, unit testing, continuous integration, etc.). Experience in the development of large-scale physics simulation codes, including coupling of multiple codes, and an understanding
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
familiarity with AI/ML algorithms, for generative materials design, or for knowledge extraction, e.g. causal ML or symbolic regression, etc. Strong demonstrated background in coding for data analysis using