523 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs in United States
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
of turbulence with fast-ions, sawteeth, and MHD. Will participate in validation and integrated modeling efforts in the AUG program. Will be expected to make original research contributions to the AUG program
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Tuition Assistance Program. All applications should be submitted via Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/31530 . A complete application will include the following material
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: Design and iterate custom-built single-molecule measurement platforms SWNT FET biosensors. Hardware Integration: Apply basic electrical engineering principles to interface biological sensors with low-noise
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grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research Additional
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, you will collaborate with a dynamic team of scientists and engineers, leveraging cutting-edge resources; most notably the Frontier supercomputer, the world's first exascale computing system. This is a
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/or peer-reviewed journals Required Knowledge, Skills, and Abilities: PhD in Computational Physics, Chemistry, Materials Science, Computer Science/Engineering, Applied Mathematics, or a related field
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for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges
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fields (e.g., nursing, psychology), non-clinical fields (e.g., engineering, informatics), or social sciences (e.g., health policy, biostatistics, epidemiology, economics, sociology). Research Focus Areas
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-POSTDOCTORALRESEARCHASSOCIATE2 [#27206] Position Title: Position Location: Oak Ridge, Tennessee 37831
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). The training program is designed to train the next generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial