779 cloud-computing-"https:"-"https:"-"https:" Postdoctoral positions in United States
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The Surface Scattering and Microdiffraction (SSM) group in the X-ray Science Division (XSD) at the Advanced Photon Source (APS), Argonne National Laboratory is seeking Two Postdoctoral Appointees, both focused on multimodal synchrotron characterization of defects and interfaces in oxides and 2D...
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. This individual will also be expected to expand and develop these areas of interest in the process of defining a unique research niche that they will build on to develop their own research program once they move
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focus on ensuring the project sponsor and larger scientific community will benefit from the work performed. Job Requirements REQUIRED: PhD in engineering, physics, computer science or closely related
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medicine through discoveries in physics, mathematics and computational science. Please visit laufercenter.org to learn more about the Center and the Carlini lab's research. The incumbent will conduct
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functional and performance testing and program automated testing using Automated Functional Testing software. Perform system and data analysis of eRA and related compliance applications, integrations and tools
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materials that may serve as model systems displaying quantum behaviors. It will also provide opportunities for collaboration with quantum computing efforts within the Quantum Science Center, guiding and
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is generally preparatory for a full time academicor research career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the
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Requisition Id 15823 Overview: We are seeking a postdoctoral researcher skilled in biogeochemistry who will contribute to mercury remediation technology development program, specifically focusing
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with cancer immunology, we design nano-enabled therapeutics that modulate immune signaling and enhance crosstalk between myeloid and lymphoid cells. Our interdisciplinary research program spans
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across diverse clients. You will use Frontier's computational power to scale and validate these privacy-preserving algorithms, enabling breakthroughs across energy and image modeling domains. You will also