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Field
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magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis
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. The Postdoctoral Scholar's research activities will involve the application of the following technologies and methodologies: 3 Tesla Siemens Prisma magnetic resonance imaging (MRI) scanner with extensive equipment
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Sciences. At the division, we conduct research and education on the energy generation, conversion, and utilization in different electro- and thermo-mechanical systems where the study of heat transfer, fluid
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on our upcoming ARPA-E project discovering novel ultra-powerful magnets, GAMBIT (Guided AI for Magnetic Boride/carbide Intermetallic Technologies). This collaborative project aims to discover next
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to develop and apply quantum sensors to problems in biophysics. Quantum sensors exploit the coherence and state-dependent response of individual quantum systems to detect magnetic, electric, and
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research on the synthesis and characterization of novel inorganic and intermetallic magnetic materials, including compounds that may contain rare-earth elements. The successful candidate will collaborate
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techniques, cryogenic systems and magnetic, electrical, thermal and structural measurements. Strong skills in scientific data analysis and programming, together with experience in superconductivity, magnetism
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 days ago
to planetary science, Earth science, and Heliophysics. For space missions, magnetometers are positioned on a spacecraft boom to minimize interference with other instruments’ magnetic noise. To ameliorate
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, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic resonance spectroscopy data or willingness to learn neuroimaging techniques
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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling