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Field
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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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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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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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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
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will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with particular emphasis on deep-field observations. The position provides access to large, high
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working with eddy covariance datasets and ecosystem flux measurements (CO₂, latent heat, sensible heat, evapotranspiration) Experience analyzing ecosystem water use efficiency or carbon-water interactions
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interactions, or aerosol–cloud interactions Strong experience in numerical modeling and high-performance computing • Experience applying AI/ML methods to model development, with strong programming skills (e.g