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; developing visualisation prototypes to communicate uncertainty to end-users; contributing to a computational framework for data production in cooperation with Research Software Engineers; working closely with
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the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check. Equal Opportunity/Veterans/Disability Employer.
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Abilities • Proficiency in reservoir simulation software and geomechanical coupling methods. • Strong quantitative and computational skills. • Ability to work independently and collaboratively in a team
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for scientific presentations using Power Point, R/Python and other graphics software as needed. Search literature for references to technical problems and keep informed by reading technical journal and
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is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check. Equal
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these solutions in an efficient, cost-effective and low-risk manner. One key shortcoming revolves around how software systems can be configured so that relevant, multi-thematic, multi-dimensional datasets
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software programs that support this work such as Esri’s ArcGIS suite, Adobe Creative suite (InDesign, Illustrator, Photoshop), R, and/or Python. Preferred Qualifications • Experience with Esri’s ArcGIS suite
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methods (at minimum, linear regression (OLS) and logistic regression, as well as familiarity with some advanced methods). Proficiency with statistical software (e.g. R, Stata). Ability to work both
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: genhua.niu@ag.tamu.edu. All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or
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years practical software engineering experience • Practical experience with computer vision, ML, or 3D scene understanding • Ability to work collaboratively across technical teams • US Citizen or