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post-doctoral research associate position in machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse
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Apply Now Job ID JR101405Date posted 09/12/2024 The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates
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future collider experiments. The successful candidates will also contribute to the development of trigger technologies intended for use at the HL-LHC and by future experiments. Applicants should have a
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high intellectual merit and the willingness to use machine learning and/or AI techniques. Essential Duties and Responsibilities: Successful candidates are expected to develop an impactful research
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materials for the next generation of microelectronics and quantum information science and technology. Position Description: We are looking for a Postdoctoral Research Associatefor a 1-year term , to grow high
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, enhanced by machine-learning and data-driven analysis techniques. Additionally, the study will encompass electrically triggered events that mimic the voltage-based signaling of biological synapses
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physics. Development of new artificial-intelligence and machine-learning techniques for high-energy and nuclear physics. Close interaction with our collaborators in the EIC and the BNL theory group will be
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-10meV energy-resolution of electron energy-loss spectroscopy (EELS) capabilities. With expected installation in 2024, the first STEM will achieve 20 keV for beam-sensitive materials. It will have a
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Brookhaven National Laboratory’s Environmental Science and Technologies Department. The selected candidate will join the BNL’s Center for Multiscale Applied Sensing team primarily as part of the new Southwest
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RHIC Ion-Ion collider. It will consist of two intersecting accelerators, one producing an intense beam of electrons, the other a beam of protons or heavier atomic nuclei which are steered