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Engineering, Nuclear Engineering, Physics, or equivalent discipline Knowledge of analog, digital and mixed-signal circuits Hands-on experience in printed circuit board schematic and layout designs Hands
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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides
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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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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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that incorporate latest machine-learning algorithms). Furthermore, the successful candidate will collaborate broadly with the other members of IO and CFN, leveraging their expertise in design and fabrication
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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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aimed at designing feedstock plants for biofuel production and bioproducts, the Center for Advanced Biofuels and Bioproducts Innovation (CABBI) headed by the University of Illinois. CABBI operates on a
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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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conduct affinity purification, chromatography, phase analysis, SDS-PAGE, and immunoblotting. Design and implement advanced CRISPR-Cas9-based genome editing, including prime editing, to understand immune