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Field
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 days ago
high contrast imaging testbed for an eventual mission to image exoplanets with a coronagraphic space telescope. This testbed includes a high performance Phase-Induced Amplitude Apodization (PIAA
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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by ATi/Innovate UK and Rolls Royce and is fixed-term to June 2029. You will join a world‑leading programme advancing experimental and numerical methods to predict the impact performance of composite
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is a strong characteristic of our project portfolio, both with large companies and SMEs. The main research focus is on developing high-performance metallic materials that are resistant to burning
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(High Performance Computing) clusters for running simulations. This position is funded by the ANR project "SinCare-H2" (ANR-24-CE07-5535), in collaboration with two laboratories (Laboratoire de Chimie de
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 days ago
. Description: The EXoplanet Climate Infrared TElescope (EXCITE) experiment is a 0.5m infrared spectrograph that flies from a high-altitude balloon. EXCITE's primary science mission is to perform phase-resolved
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cutting-edge, high-performance computing platforms • Have opportunities to publish in leading peer-reviewed journals, present research at conferences, and visit academic collaborators at CU Boulder and
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc position in development of protocols for isolation of high performing microbial strains for sustainable
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projections. Demonstrated experience in working with large data sets. Strong programming skills (e.g. Python, R) and ideally experience in high-performance computing. Demonstrated ability to work in a team