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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
, aircraft and space-based retrievals of surface emissivity, temperature, and evapotranspiration cover a range of processes linked to leaf, canopy and landscape scales. NASA’s current and upcoming thermal
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strongly interdisciplinary. Specifically, our star technique is scanning electrochemical cell microscopy (SECCM) , a powerful electrochemical imaging technique for interrogating electrochemical processes
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Synchrotron (RCS). This role offers an opportunity to make key contributions to the safe, reliable, and efficient operation of one of DOE’s flagship accelerator projects. Essential Duties and Responsibilities
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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perform Lab-3DµXRD experiments to follow microstructure evolution during annealing and stress-corrosion tests on aluminum samples processed using different laser powder bed fusion parameters to perform
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process and the decisions of policymakers (i.e., where do I allocate my resources? Which policies yield the most? Which are the most sustainable?). The perspective of Social Services as Social Investment is
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growth by metalorganic vapor phase epitaxy and developing AI approaches for deterministic synthesis to achieve n- and p-type conductive AlN and related UWBG Al containing alloys. Doping and processing
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secondary electron detector for surface imaging at the atomic scale, and hybrid-pixel detector for 4D-STEM. The second STEM will be an ultra-high vacuum environmental STEM with nine orders of magnitude
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, materials science and engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects