-
-scale modeling using SWAT+ and APEX. Proficiency in programming languages such as Python and R for data processing. Background in applying AI/ML techniques to hydrology or water quality research. Strong
-
-scale modeling using SWAT+ and APEX. Proficiency in programming languages such as Python and R for data processing. Background in applying AI/ML techniques to hydrology or water quality research. Strong
-
, Python) Crash analysis experience Paper writing experience Project management experience Required Application Materials Cover Letter Curriculum Vitae (CV) Contact Information for three references Special
-
. Candidate should have experience in sensor technology, irrigation, and agricultural field research. Excellent statistics practical knowledge. Familiarity with programming languages such as Python, R, and Java
-
. Candidates with strong and demonstrable programming language skills (e.g., Fortran, Python, SQL) are highly desirable. Desired Qualifications Experience in HYDRUS, SWAT, MODFLOW Integration, PFAS fate, and
-
Qualifications Day to day, the expectation is that the researcher will be expected to learn or have prior experience with a programming language such as python, Unix-based operating systems such as MacOS or Linux
-
regression techniques. Strong quantitative and programming skills (e.g., R, Python, or MATLAB). Solid foundation in advanced mathematics, including topics such as real analysis, complex analysis, computational
-
structural modeling and estimation. Advanced knowledge in causal inference and use of econometric tools and statistical software (e.g., Stata, R, Python) to conduct research using secondary and primary data