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sensors, such as the Underwater Vision Profiler or the ZooScan, as well as an increase number of software packages to process and control the quality of the data generated by the instruments, sort images
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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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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
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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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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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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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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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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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. Experience with software development in a scientific environment using Python, Ruby, Julia, R, or C++. Experience programming in Python, Matlab or similar tools Strong interpersonal communication skills (oral