-
analyses on student account receivables data to place past due balances in collections and determine trends in an effort to decrease outstanding Accounts Receivable (A/R). Performs all aspects involved in
-
procedures used in spatial data analysis and vegetation dynamics modeling is required. The candidate should have extensive practical experience in the use of R and GIS. Demonstrated skills of Bayesian modeling
-
in STEM. Familiarity with statistical software (e.g., R, Python). Experience with programming. Strong organizational skills and attention to detail in data management tasks. High school diploma with
-
open-source projects Experience with MATLAB and R Prior experience in a technical support capacity Experience leading groups Knowledge of BIDS standards Bachelor's degree (or nearing completion) and two
-
on student account data to determine trends in an effort to decrease outstanding Accounts Receivable (A/R) and collection account placement. Assist with managing the process to bill, collect and apply payments
-
educates advisees on potential engagement opportunities and other high-impact practices available to them. r academic success, PDA, Major Maps, EAB, Handshake). Completes appropriate Academic Coaching