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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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have earned a Ph.D. in a relevant discipline (Materials Science, Physics, Chemistry, or a related engineering discipline) within the past five years or will complete your degree before the starting date
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year depending on performance and availability of funds. Candidates must have received a Ph.D. by the commencement of employment. BNL policy requires that after obtaining their PhD, eligible candidates
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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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. These observations will then be analyzed by the postdoctoral researcher and the project team to (i) create new understanding of the feedbacks among urban infrastructure, waste heat, and extreme heat/weather events
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Requirements: Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics) awarded within the last 5 years. Strong
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the department on new potential collaborations. Position Requirements: Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics
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achievements, and engage within and beyond the group on new potential collaborations. Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied
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. in computer science or a related field (e.g., engineering, applied mathematics, statistics) awarded within the last 5 years. Strong theoretical understanding and practical experience in deep learning
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Candidates must have received a Ph.D. by the commencement of employment. BNL policy requires that after obtaining their PhD, eligible candidates for research associate appointments may not exceed a combined