31 technology-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at Argonne
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The Vehicle Technology Assessment (VTA) Group within the Vehicle and Mobility Systems department (VMS, vms.taps.anl.gov ) at Argonne National Laboratory is looking for a postdoctoral appointee to
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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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) energy innovation hub. ESRA is a $12.5M/year R&D center focused on fundamental and use-inspired research to invent next-generation battery materials and chemistries. By laying the scientific groundwork
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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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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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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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The Nanoscience and Technology Division at Argonne National Laboratory invites applications for an Assistant Scientist (RD2) position in the Nanofabrication and Devices Group within the Center for
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Cloët ( [email protected] ). About Argonne and the Physics Division: Argonne is a multidisciplinary science and engineering research center, where talented scientists and engineers work together to answer
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, Physics, or a related field. Strong expertise in machine learning, computational imaging, computer vision, or signal processing. Proficiency in scientific programming and modern ML frameworks, with