205 software-verification-computer-science positions at University of Texas at Austin
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
: Perform other tasks as required to support the research project. Required Qualifications Master's degree, preferably in fields related to electrical and computer engineering, information systems, operations
-
strong understanding of IT principles, software development, and system analysis, typically evidenced by a Bachelor's degree in a related field of Information Technology or Computer Science or five years
-
functions as assigned. Required Qualifications Master's degree in engineering, computer science, or similar technical degree. Three or more years of experience in systems engineering such as requirements
-
/Excel software, Windows environment. Experience with and a moderate comfort level using a personal computer. Demonstrated ability to learn tasks quickly with minimal training and supervision. Flexibility
-
sonar and security system software in the Advanced Technology Lab (ATL) of Applied Research Laboratories (ARL). Responsibilities Design and develop sonar software applications and scripts in a Linux
-
Job Posting Title: R&D Software Engineering Scientist Associate ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA
-
interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and
-
within the College of Natural Sciences. Responsibilities Ensure all requests via phone, email or ticketing system are addressed in a timely manner. Assists with diagnosis of all computers and printer
-
. Responsibilities Designing software applications and algorithms to support remote sensing, geospatial data analysis, and data science applications. Conducting software testing, code reviews, CI/CD, and verification
-
. Responsibilities Designing software applications and algorithms to support remote sensing, geospatial data analysis, and data science applications. Conducting software testing, code reviews, CI/CD, and verification