Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Netherlands
- Spain
- France
- United Kingdom
- Germany
- Australia
- Canada
- Mexico
- Finland
- United Arab Emirates
- Hong Kong
- Austria
- Denmark
- Portugal
- Italy
- Switzerland
- South Africa
- Norway
- Singapore
- India
- Japan
- Belgium
- Luxembourg
- Croatia
- Ireland
- Morocco
- Saudi Arabia
- Turkey
- Vanuatu
- 21 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Electrical Engineering
- Biology
- Earth Sciences
- Environment
- Medical Sciences
- Education
- Business
- Materials Science
- Social Sciences
- Statistics
- Psychology
- Chemistry
- Physics
- Science
- Mathematics
- Design
- Arts and Literature
- Law
- Humanities
- Linguistics
- Sports and Recreation
- Economics
- 14 more »
- « less
-
engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations
-
programme Reference Number AE2026-0285 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt
-
learning, robotics, and autonomous systems. The student will join a research group working at the interface of advances in machine learning, security and post-quantum cryptography, with opportunities to
-
tenured faculty position in the area of Design and Manufacturing IN/FOR Extreme Environments. The School of Manufacturing Systems and Networks (https://msn.engineering.asu.edu/), one of the eight Fulton
-
upon agreement. PROJECT DESCRIPTION The objective of this project is to develop a trustworthy AI framework for the autonomous operation of process plants. The research will focus on AI agents that
-
seek applicants for a tenure-track or tenured faculty position in Physical Artificial Intelligence (AI) in Robotics & Manufacturing. The School of Manufacturing Systems and Networks ( https
-
compressible, turbulent fluid-structure interactions using immersed boundary and XFEM techniques, validated against experimental benchmarks. 3. Bio-inspired autonomous systems — Pave the way towards
-
. In conjunction with the DOE’s METALLIC platform ( https://netl.doe.gov/metallic ), we are developing a closed-loop autonomous experimentation platform that integrates scientific instrumentation, data
-
Lead one of Australia’s premier robotics centres to shape the future of autonomous systems through world-class research, innovation, and strategic partnerships. Five-year fixed-term position with an
-
autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and