Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Business
- Science
- Materials Science
- Electrical Engineering
- Biology
- Mathematics
- Chemistry
- Arts and Literature
- Education
- Linguistics
- Environment
- Psychology
- Humanities
- Design
- Philosophy
- Earth Sciences
- Law
- Physics
- Social Sciences
- Sports and Recreation
- 14 more »
- « less
-
knowledge and tools verified by proof assistants. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems, guided
-
, reliable, comfortable, productive, sustainable, and cost-effective facilities to support the Mission of the University. Provide support to other units. Support the Mission, Vision, Values, and Guiding
-
supervision of MSc and PhD student research projects Personal characteristics Reliable Proactive and problem-solving attitude Eager to collaborate within and across sections and contribute to joint projects
-
methods and evaluation, ability to design procedures, work with data, and present conclusions in a comprehensible manner. Teaching and facilitation skills, ability to structure teaching and provide
-
, and changing divisional needs. Physical challenges may include lifting heavy objects, working from ladders, or elevated platforms, in crawlspaces, confined spaces, and construction zones in hot, humid
-
Large Language Models (LLMs). The position will also involve creating quantitative evaluation frameworks to assess the quality, realism, and reliability of generated data, as well as integrating graph
-
, including usage, performance, and error tracking. c. Troubleshoot production issues and optimize reliability, latency, and cost of AI services. d. Assist in maintaining model and endpoint lifecycles (e.g
-
ticket discounts Access to UT Austin's libraries and museums Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: https://hr.utexas.edu/prospective/benefits
-
nanoscale vortex-state particles in rocks and other geological materials. These particles are predicted to be exceptionally stable magnetic recorders, yet their internal magnetic structure and recording
-
high-quality, cost-effective, reliable implementation of modern IT solutions advances the mission of the University, as well as that of each individual School and Center. At Penn, technological freedom