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at technical conferences. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical engineering, materials science, civil engineering, computer
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artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision Higgs and Standard Model measurements, and searches
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four staff members [Ian Cloët, Alessandro Lovato, Anna McCoy, and Yong Zhao] and several postdocs and students. The group has a broad research program in QCD/hadron physics and nuclear structure
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The Multiphysics Computations Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing high-fidelity scale-resolving computational fluid dynamics (CFD
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magnetic thin films, patterned structures, and complex interfaces. In this advertised role, you will be conducting real-space imaging of magnetic heterostructures using LTEM to understand spin textures and
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computational scientists to advance a next-generation, user-friendly, agentic AI platform for automated data analysis, interpretation, and user interactions. The appointment is expected to last two years and the
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) in field of organic, organometallic, or inorganic chemistry Expertise in the synthesis and characterization of MOFs and air-sensitive transition metal complexes Experience in conducting kinetic and
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organometallic / inorganic heterogeneous catalysis Design, synthesize, and characterize metal-ligand complexes supported on metal oxide and/or non-traditional support materials Investigate the catalytic activity
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heterogeneous Catalysis focusing on stimulus driven and non-equilibrium catalysis Design, synthesize, and characterize well-defined complexes supported on metal oxide or non-traditional support materials
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-throughput workflows for data acquisition and analysis Contribute to on-the-fly data processing and integration with computational tools Collaborate with multidisciplinary teams in nanofabrication