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scientific facilities: The CFN conducts research on nanomaterial synthesis by assembly designing precise architectures with targeted functionality by organizing nanoscale components. The CFN researches and
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computer science knowledge. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel AI/ML algorithms and models. Knowledge about hardware architectures, compilers, neural network
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solutions to challenges influenced by meteorological conditions (contaminant dispersion, weather extremes, building design, renewable energy generation) in highly heterogeneous environments such as cities and
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Apply Now Job ID JR101897Date posted 07/07/2025 The Condensed Matter Physics and Materials Science Division (CMPMSD)at Brookhaven National Laboratory conducts a wide-ranging research program
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integrating physics requirements into the design of the EIC interaction region. The EIC group at BNL’s Physics Department has an opening for a Postdoctoral Research Associate. The selected candidate is expected
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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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support. Preferred Knowledge, Skills, and Abilities: Ability to program and debug python code, particularly Jupyter notebooks. Experience in working on collaborative software projects. Environmental, Health
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appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other
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microscopy, planned experiments will include atomic-scale imaging, high energy-resolution electron energy-loss spectroscopy (EELS), 4D scanning transmission electron microscopy (STEM), and cryogenic microscopy