Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- United Kingdom
- Portugal
- Singapore
- Norway
- Italy
- Spain
- Netherlands
- Belgium
- Denmark
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- Ireland
- Canada
- Hong Kong
- Austria
- China
- Czech
- Worldwide
- Cyprus
- Estonia
- Finland
- Japan
- Malta
- Switzerland
- Greece
- India
- Morocco
- Slovakia
- Andorra
- Bulgaria
- Saudi Arabia
- Armenia
- Brazil
- Europe
- Mexico
- New Zealand
- 33 more »
- « less
-
Program
-
Field
-
Control for System Engineering department includes the development of methods and tools for optimizing and controlling the dynamic behavior of systems in a wide range of application domains, in
-
of the observation receiver used to measure the transmitter output and extract distortion information. This position is part of the ERC Synergy DISRUPT project, which aims to develop new architectures for observing
-
-guided) Evolutionary trajectory analysis and fitness landscape modeling Integration of predictive algorithms with experimental iteration cycles High-throughput screening and selection platform development
-
machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
-
generation initiative. Our laboratory has expertise in deep learning, including deep reinforcement learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms
-
situation in which a customer or colleague was upset and the steps you took to resolve the issue to a reasonable conclusion. Describe your key impressions of the CVC presentation found here: http
-
to multidisciplinary project teams, and develop broader research and engineering skills through mentorship and project-based experience. As New Mexico’s flagship R1 research university, UNM offers a collaborative and
-
growth. Develops innovative solutions and novel approaches to space systems challenges, including new communication architectures, radiation mitigation strategies, advanced control algorithms
-
of the algorithm for real-time planning in the event of unforeseen hazards or new demands. -Calibration and validation of the developed optimization-simulation coupling model with a fleet of robots ***FINANCIAL
-
Transfer Partnership (KTP) to develop advanced AI capabilities that will unlock the next level of market insights in the Kids, Parents and Family sector. Employed and supported by an academic team from