24 scholarship-vacancy-for-phd-in-computational-physics Postdoctoral positions at Brookhaven Lab
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Required Knowledge, Skills, and Abilities: PhD in Accelerator Physics or a related field In-depth working knowledge of accelerator design codes such as BMAD, MADX, or ELEGANT Working knowledge of programming
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work closely with CFN Electron Microscopy group members and computer scientists at Brookhaven. You will be professionally mentored by Dr. Judith Yang and Dr. Sooyeon Hwang and receive guidance from Prof
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Research program. The project aims to integrate a diverse suite of high-resolution observations (atmospheric, land surface, and infrastructure), diagnostic/predictive models, and civic engagement to provide
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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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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
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data science Reporting the scientific results in academic papers and talks Required Knowledge, Skills, and Abilities: PhD. in Physics or related discipline. A good understanding of the physics of quantum
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for the characterization. Prepare research based manuscripts for publication Participate in the meetings related to the EFRC Required Knowledge, Skills, and Abilities: PhD in Condensed Matter Physics, Materials Science
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The Advanced Electron Microscopy and Nanostructured Materials Group within the Division of Condensed Matter Physics and Materials Science at Brookhaven National Laboratory invites applications
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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
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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