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, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of
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- temperature metrology - modeling population dynamics with a set of coupled rate equations Application Instructions Please upload the following with your application: - CV/Resume *Please limit C.V to 3
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biology and biophysics. Training and/or experience in handling of purified proteins, computational analysis and modeling in MATLAB, tissue culture, confocal and TIRF microscopy of cells and biophysical
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with pre-clinical models experience coordinating and/or managing grant application processes and research administration experience conducting scientific literature searches and managing research data
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Project: Enhancing APEX for simulating environmental and economic impacts of CAFO operations using the APEX model, funded by USDA-NRCS. Texas A&M AgriLife Research is seeking a highly motivated and
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advanced data analysis including statistical modelling, multi-omic integration and reproducible computational pipelines. The Senior Post-Doctoral Researcher will integrate microbiome outputs with clinical
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soils, with applications in permafrost engineering, cold-regions geotechnics, and climate-driven ground processes. The postdoctoral scholar will lead applied modeling and data-constrained analyses using
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: Computational, Quantitative, and Predictive Modeling of Root Systems. This position emphasizes integration of phenomics and other -omics data into predictive frameworks. Research areas may include: Structural
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for compound identification and metabolic profiling. • Familiarity with statistical modeling and computational approaches for bioactive compound analysis. • Plant microbiome interactions; host-associated and
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foundational models to describe IDP interactions under various physiological conditions, both normal and cancer related Use these models to iteratively design, validate, and refine experiments, leading