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scientific applications. The CGR lab conducts research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and evolution across different genomic
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outputs. Proficiency in scientific programming and computational tools commonly used in numerical modeling and environmental data analysis, such as Python, MATLAB, Fortran, C/C++, or comparable languages
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; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python, JavaScript, PostgreSQL) with clear expertise in front-end and
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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal
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how you can be a part of AgriLife and make a difference in the world! Position Information The Postdoctoral Research Associate is responsible for conducting collections-based research focused
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Why does heat affect people differently? Join the Horizon Europe HARARA project to explore the lived realities of urban heat and shape inclusive climate adaptation solutions. Job description This
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, and Den Otter, Weindel, Stuit, Van Maanen, Plos Computational Biology, 2026 for more information about these methods. The goal of the project is to be able to track differences in strategy use between
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data. Change: The CROPWAVES project will exploit satellite-based products for soil moisture and vegetation using data assimilation to improve global-scale crop and climate models at different resolutions
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make a difference in the world! Position Information Texas A&M AgriLife Research at Temple is seeking a highly motivated scientist with expertise in crop modeling, remote sensing, and geospatial
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, or a closely related quantitative field, together with strong programming skills, for example in Python or R. You are welcome to apply should you have a degree in applied parts of statistics