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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours 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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-in-cell computer codes hosted on local and national high-performance computing clusters; establishing all-optical diagnostics to map temperature evolution in plasma accelerators; exploring novel inter
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to lead analyses critical to the high-throughput identification and characterization of RNA modification enzymes research program and to take initiative in contributing to the design and implementation of a
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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Researcher (R1) Country Singapore Application Deadline 8 Feb 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Recognised Researcher (R2) Country Sweden Application Deadline 9 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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more than 300 employees with competencies in electrical and photonics engineering. Research is performed within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed
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Performing cryo-electron microscopy (cryo-EM) and cryo-electron tomography (cryo-ET) for high-resolution structural analysis of CIS Redesigning CIS components and engineering new variants for delivery
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Knowledge on numerical linear algebra, numerical methods, high performance computing, or other related fields Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data