23 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 JR101545Date posted 11/20/2024 BNL’s Nonproliferation and National Security Department (NN) contributes to U.S. nuclear security and safeguards efforts by assisting in
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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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. POSITION REQUIREMENTS: Required Knowledge, Skills, and Abilities: Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Physics, Material Science, or related discipline. Demonstrated
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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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engineering teams to evaluate energy deposition, power losses, total ionizing dose, and other radiation-relevant quantities across the Electron Storage Ring (ESR), Hadron Storage Ring (HSR), and Rapid Cycling
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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