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and the development of novel research concepts. The scientist will lead Argonne’s Rapid Prototyping Laboratory (RPL), a team of computer scientists, roboticists, data scientists, and subject matter
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://github.com/AD-SDL/MADSci AD-SDL organization on GitHub: https://github.com/AD-SDL Position Requirements Minimum of a Ph.D. in Computer Science, Materials Science, Physics, Chemistry, or a related field
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capable computers. The division aims to build lab-wide cross-cutting simulation application capabilities integrating with mathematics, computer science, domain science, and advanced computing architectures
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availability. Relevant Publications: 1. P. Chen et al., Ultrafast photonic micro-systems to manipulate hard X-rays at 300 picoseconds, Nat Commun, 10:1158 (2019). https://doi.org/10.1038/s41467-019-09077-1. 2
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below: https://www.anl.gov/cse/atomic-molecular-and-optical-physics Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in physics, chemistry, materials science, or
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Science: [email protected] More information on ESRA and the research areas of focus can be found at: https://energystoragera.org Job Family Research Development (RD) Job Profile R&D Multi-Functional
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backscatter diffraction, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral
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Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied
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, benchmarking and deploy them for applications. The ideal candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning
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environment that brings together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for