Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
). Experience with cell line immortalization and validation. Competency in data analysis (R/Python/GraphPad), and version-controlled workflows. Evidence of mentorship, leadership, and effective cross-functional
-
Management Information Systems (MIS) and Business Analytics. Of particular interest are candidates who can teach: Python programming for business analytics and MIS students Consultative problem solving Problem
-
tracing. Experience with data assimilation/UQ for parameter inference (EnKF/Bayesian/ensemble methods) using flux or gas-exchange datasets. Strong Python (plus MATLAB/Fortran/C++ a bonus), Git-based
-
, robotic, and cyber-physical systems using languages and tools such as C, C++, Python and Yocto. Architect and maintain a custom Yocto distribution for Tegra SoCs, replacing standard L4T samples with a
-
, CMMC 2.0, ITAR, etc.) Experience with multiple programming languages (Bash, python, C, R, PHP...) Job Description: Information Technology Services at Iowa State University is seeking applicants for a
-
interdisciplinary collaboration, have a demonstrated knowledge of Midwestern agroecosystems, and have direct experience collecting, managing, and analyzing field data using R, Python, or similar tools, as
-
, and cyber-physical systems using languages such as MATLAB/ Simulink, Python, and C++ Develop software that integrates sensing, perception, controls, data processing, and actuation on mobile and vehicle
-
) Proficiency in computational programming (Python, C++, or related) Good track record of research publications Department Unit/Website: https://www.engineering.iastate.edu/ Proposed Start Date: April 1, 2026
-
audiences Strong coding skills, preferably in Python Familiarity with computational tools for modeling biological systems. IMPORTANT: Applications must also be submitted online at https://isu.wd1
-
and publishing research articles, including for general scientific audiences Strong coding skills, preferably in Python Familiarity with computational tools for modeling biological systems. Department