18 assistant-professor-computer-science-data Postdoctoral positions at Brookhaven Lab
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crystallization to data analysis. The position offers candidates a unique opportunity to cultivate skillsets in laboratory automation and data science as they work closely with NSLS-II professional staff and
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be overseen by Professor Yimei Zhu and emphasizes strong collaborations within the DOE-EFRC — “Quantum Materials for Energy Efficient for Neuromorphic Computing.” The position is ideal for candidates
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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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experiment at the EIC. The program includes data analysis involving polarized targets at Jefferson Lab as well as full detector and physics simulations for ePIC. In addition, the candidate will collaborate
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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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seminars and colloquia Participate in conferences and workshops, regular group meetings, and assist with notetaking Required Knowledge, Skills, and Abilities: PhD degree in meteorology, atmospheric sciences
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processes emerging from the unique data in research areas such as quantum information science. • You will collaborate with scientific staff with diverse backgrounds, including data analytics, electron
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studies and computer simulations Collaborate with the BMAD development team at Cornell University by implementing new features into the code Participate in the EIC design effort in a more general sense
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computational resources for data analysis. This position offers a dynamic, collaborative environment, engaging with experts across plant biology, microbiology, structural biology, and computational sciences and
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a