Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Science
- Materials Science
- Mathematics
- Business
- Chemistry
- Earth Sciences
- Linguistics
- Environment
- Electrical Engineering
- Education
- Law
- Philosophy
- Psychology
- Social Sciences
- Arts and Literature
- Humanities
- Physics
- Sports and Recreation
- 13 more »
- « less
-
innovation within the disciplines of geotechnics and geophysics. You will become part of an academic team working to address major challenges of geotechnical infrastructure, including performance prediction
-
prediction approach for pennycress and winter camelina improvement. Post-Doctoral Associates conduct research and/or services that provide further development of career skills or allow them opportunities
-
trends and composition analysis, refractive index determination, and morphology for applications such as environmental monitoring, nuclear non-proliferation, and improving predictive modeling tools (e.g
-
the fundamental engineering understanding of gas centrifuge systems. The group leverages analytical techniques and advanced computational tools—including finite element analysis (FEA)—to evaluate and predict
-
be defined at two levels: SAACD Component: This is a UAV made up of hardware and software sub-systems, capable of observing, predicting, deciding and reconfiguring itself to fulfil its mission (e.g
-
difficult to predict. Please review courses offered in the department and indicate which ones you believe yourself to be qualified to teach. Classes most often in need of an instructor include: CFS 31 (Family
-
California State University, Long Beach | Long Beach, California | United States | about 20 hours ago
and safety prediction, automation and robotics in construction processes, computer vision in the AEC industry, emerging technologies, predictive analytics, prefabrication and modular construction
-
include, but are not limited to, domains where mechanical precision meets intelligent systems: Energy Systems: Apply their knowledge of thermal and kinetic systems to deploy AI for predictive maintenance
-
apply AI and data-driven modelling to predict system efficiency - balancing air purification with energy consumption. It will also explore how sensor feedback can control treatment systems and communicate
-
transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting