Sort by
Refine Your Search
-
Category
-
Program
-
Field
- Economics
- Computer Science
- Engineering
- Medical Sciences
- Business
- Arts and Literature
- Materials Science
- Biology
- Environment
- Law
- Science
- Education
- Social Sciences
- Psychology
- Earth Sciences
- Linguistics
- Mathematics
- Chemistry
- Design
- Electrical Engineering
- Philosophy
- Sports and Recreation
- Humanities
- 13 more »
- « less
-
Job Posting Title: Research Associate, Center for Water and the Environment, Cockrell School of Engineering ---- Hiring Department: Fariborz Maseeh Department of Civil, Architectural and
-
Research Associate, Center for Subsurface Energy and the Environment, Cockrell School of Engineering
Job Posting Title: Research Associate, Center for Subsurface Energy and the Environment, Cockrell School of Engineering ---- Hiring Department: Hildebrand Department of Petroleum and Geosystems
-
professor position in the Engineering of Habitats for Extreme Environments (EHEE). Engineering of Habitats for Extreme Environments involves the design and construction of sustainable and resilient
-
position in Building, Energy, and Environments (BEE). The Department seeks applicants in all areas of engineering relevant to BEE, with special emphasis on buildings, including their interface with community
-
simulators, graph network simulator surrogates and reinforcement learning to develop policy optimization to control robot-soil interactions in lunar environment. Responsibilities Perform basic research in
-
individual to join our team as a Desktop Support Specialist. The ideal candidate will be responsible for providing various forms of technical support, in a predominantly Mac environment, to the faculty and
-
alternative fuel vehicle research and the H2@Scale program. The College of Natural Sciences at UT Austin , strives to foster a work environment that enables all employees to contribute at the highest possible
-
an ability to build relationships, influence, communicate and solve complex challenges with executive and operational teams. Proven ability to quickly change direction and adapt in a dynamic environment
-
scalability in challenging environments. Our project is dedicated to crafting advanced machine-learning algorithms specifically designed for network optimization and security challenges. Through rigorous real
-
mission environment is essential for this job. Purpose Contribute to science algorithm innovation, science data analysis and interpretation for gravity missions at CSR. Expected to publish scholarly