53 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "Newcastle University" Postdoctoral positions at Oak Ridge National Laboratory
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strengths in any of these areas — quantitative imaging, modeling/transport science, machine learning, or scientific programming — are encouraged to apply. Major Duties/Responsibilities: Lead energy‑storage
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, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Work with others to maintain a high level of scientific productivity
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research findings at conferences, program reviews, and technical meetings Ensure compliance with environmental, safety, health, and quality program requirements Deliver ORNL’s mission by aligning behaviors
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offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you
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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and
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Program (DOE IP) to advance the chemical processing of unique f-element isotopes, including Cf-252, Bk-249, Es-254, Fm-257, and Pm-147. A core focus of the DOE IP is to improve and develop novel chemical
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degree in physics or related discipline completed within the last five years. Preferred Qualifications: Experience with modern programming languages, particularly Python. Demonstrated ability
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scientific papers in key journals and present at key meetings. Ensure compliance with environment, safety, health, and quality program requirements. Maintain a strong commitment to the implementation and
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, health, and quality program requirements. Maintain a strong commitment to the implementation and perpetuation of values and ethics. Deliver ORNL’s mission by aligning behaviors, priorities, and
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(or expected soon) Demonstrated experience in hydrologic or land surface modeling. Experience in applying AI/ML techniques to hydrologic or Earth sciences. Proficiency in scientific programming languages such as