10 mathematics-graph-theory Postdoctoral positions at Brookhaven Lab in United States
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with all our collaborators in the EIC group and the theory group at BNL will be essential for progress on all aspects of this program. Required Knowledge, Skills, and Abilities: Ph.D. in Nuclear
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microscopy, modeling, materials theory, and nanofabrication. • You will carry out impactful nanomaterial research, publish papers, and give external presentations on your work. Position Requirements: • You
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. The program involves close collaborations with experts in theory and data science and will benefit from frequent interactions with principal investigators at the National Synchrotron Light Source II (NSLS-II
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, data science, mathematics, or closely related fields (e.g., physics) Demonstrated experience with data science, especially statistical hypothesis testing, uncertainty quantification, pattern analysis
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or heterogeneous catalysis of small molecule activation. Density functional theory applications to transition-metal containing molecular complexes. Hybrid quantum mechanics/molecular mechanics (QM/MM) methods
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Apply Now Job ID JR101731Date posted 03/04/2025 ORGANIZATIONAL OVERVIEW Researchers in the Biology Department at Brookhaven National Laboratory seek to unravel and fully describe the complexities of biological systems from how plants make oils and other products to the role of proteins in...
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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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mathematics, statistics) awarded within 5 years. Strong theoretical understanding and practical experience in machine learning, foundation models, and computer vision. Strong publication record in machine
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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