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to address computational challenges in different scientific domains. The successful candidate is expected to design, develop, and integrate novel computational techniques, including software and numerical
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. Position Description We invite applications for a Postdoctoral Research Associate position in ultrafast, nonlinear, and quantum optics. The successful candidate will develop and employ Ultrafast Quantum
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external partners. Topics of particular interest include the novel development and application of machine learning models--such as large language models, multi-modal foundation models, agentic AI, embodied
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, transfer, accelerate and focus electron and X-ray beams. This includes a combination of custom designed and built parts and vendor produced components developed by a collaboration of the NSLSII scientific
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, engineers, and other support staff to lead both the TES user program and beamline operations. The Lead Beamline Scientist will develop a vision and strategy to advance the TES user science program, enhance
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external partners. Topics of particular interest include the novel development and application of machine learning models--such as large language models, multi-modal foundation models, agentic AI, embodied
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for the information and energy technologies of the future. Currently, five EST beamlines are in operation and two more are under development. Position Description The National Synchrotron Light Source II (NSLS-II
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requirements. Oversee and/or conduct supplier site visits. Prepare and present reports on procurement activities, including source and price justification, as applicable. Document procurement files and perform
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, retirement, paid time off, fitness facilities, paid parental leave, and on-site childcare Professional development and career advancement opportunities Eastern Long Island work location (Brookhaven Township
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device performance to guide the development of transition metal silicide quantum architectures; You will explore novel superconducting qubit and resonator designs optimized for scalability and modular