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Field
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, tool use, retrieval systems, or related AI systems Experience with large-scale datasets, distributed training, or high-performance computing environments Interest in scientific applications of AI/ML
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(ORNL). CSED performs transdisciplinary computational science and analytics at scale to produce advancements in physical sciences, engineering, and biomedicine and health. The Quantum Computational
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an advantage. Equipment used to perform the essential duties of this position: Computer - 5 to10 hours/week PCR machine - 5 to 10 hours/week Sequencer - 5 to 10 hours/week Why Work at Texas A&M AgriLife? When
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Position Details Position Information Internal Posting? Posting Number SP005231P Position Title Postdoctoral Researcher Division/College College of Engineering Department Computer Science Location
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package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data
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Development and Manufacturing (intelligent composites, high-temperature composites, hybrid composite manufacturing, design of metamaterials, and/or non-destructive structural health monitoring and performance
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AI/ML and a strong record of research accomplishment who are excited to develop new AI approaches for high-impact problems in cellular and protein computational biology. This role focuses on applying
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tools, especially with application in drug discovery. Experience with high performance computing environment (HPC) / cluster job submission. Knowledge of statistical methods, data science algorithms
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expertise in 1) protein dynamics; 2) molecular dynamics simulations; and 3) high-performance computing environments. Prior programming experience is preferred but not required. The postdoctoral scientist will