Sort by
Refine Your Search
-
Category
-
Field
-
and Knowledge: Strong interest in (or be already skilled in) the development, application, and testing of hydrologic models. Comfortable with working in the python programming language. Knowledge and
-
mitigation, and multipath correction. Builds automated data pipelines (MATLAB, Python, Rust) with QA/QC and real-time validation tools. Integrate sensor outputs with hydrodynamic/hydraulic models and support
-
programming expertise in at least one of the C++, C# and Python languages. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
-
leadership. Position will be responsible for teaching four (4) courses per semester, including large lecture sections of introductory statistics. Sufficient knowledge of statistical software, such as Python, R
-
electronic resource access problems. Experience with programming languages such as SQL, Python, or Bash. Knowledge of data formats and structures, CSV, XML, JSON. Background Investigation Statement: Prior
-
language or languages often applied to environmental datasets (R, Python, mySQL, MATLAB and JavaScript, or other GIScience). Preferred Qualifications: Master's degree or PhD in environmental science