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with process-based models, including APEX, SWAT, EPIC, DayCent, or DNDC. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and
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others. Preferred Knowledge, Skills and Abilities: ●Knowledge of standard laboratory procedures for manure and mortality management and analysis. ●Proficiency in Python, R, or MATLAB for data analysis
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(e.g., R, SAS, Python, or similar). Equipment Used: standard research equipment such as light emitting diodes, data logger, environmental sensors, LI-COR gas exchange system, fluorometer. Part time
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. Experience with trait-based ecology, ecometric or functional-trait modeling, or macroecological analyses. Experience with R, Python, or equivalent programming languages for statistical and spatial analyses
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decision support systems. The candidate would also assist in writing python/R programming scripts to optimize processing time, making the current decision support systems more efficient and reliable
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geospatial datasets, and programming languages (either R or Python). The ideal candidate should have excellent academic record, authored/co-authored publications, contributed to significant scientific meetings
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simulation models. Proficiency in computer programming such as scripting using Python, Fortran, or other computing tools for data processing and modeling. What You Need to Know Salary: Compensation
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Description The Postdoctoral Research Associate will examine the epigenetic regulation of the paternal genome and subsequent role in embryo development in the Luense Lab (https://animalscience.tamu.edu/people
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make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center (https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the Controlled Environment
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(http://agriliferesearch.tamu.edu ) is the state’s premier research agency in agriculture, natural resources, and life sciences. A member of the Texas A&M University System, Texas A&M AgriLife Research