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Field
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enzymatic reactions. It will also involve combining enzymatic reactions with chemical catalysis or separation, sequentially or in one pot setups. Required skills will include high throughput enzyme
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U.S. Great Plains region, as evidenced by application material. Previous experience with coupling interdisciplinary models and/or high-performance computing, as evidenced by application material
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, require limited supervision and high-level of independence are highly desirable. About the lab and St. Jude: Our lab focuses on computational methods development and large-scale genomic/genetic analysis
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coordinate project-team meetings, both in person and via Microsoft Teams or other videoconferencing application. 6. Use computers and technical equipment to perform data analysis, statistical analysis, and
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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: 28 months with the possibility of extension based on performance and availability of funding. Application Window Open date: July 29, 2025 Most recent review date: Monday, Sep 1, 2025 at 11:59pm
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at cutting-edge chemistry, physics, and materials research. Ames National Laboratory is a world leader in catalysis, polymer upcycling, separations, computational chemistry, rare earths, quantum materials
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Description Here’s a Glimpse of the Job The Postdoctoral Research Associate performs research and development on laser spectroscopic ranging and imaging systems and writes scientific papers and proposals while
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Service (https://www.txgen.tamu.edu/) • Molecular Genomics Core Facility (https://research.tamu.edu/facility/molecular-genomics-core/) • High-Performance Research Computing (HPRC) (http://hprc.tamu.edu
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent