Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Singapore
- France
- Portugal
- United Kingdom
- Netherlands
- Norway
- Germany
- Italy
- Spain
- Belgium
- Sweden
- Poland
- United Arab Emirates
- Australia
- Denmark
- Canada
- Finland
- Austria
- Switzerland
- Luxembourg
- Ireland
- Morocco
- China
- Greece
- Hong Kong
- Mexico
- Romania
- Cyprus
- Czech
- Estonia
- Saudi Arabia
- Slovenia
- Brazil
- Bulgaria
- Croatia
- Japan
- Lithuania
- 28 more »
- « less
-
Program
-
Field
-
: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous
-
the Cortex (https://www.ntnu.edu/kavli/centre-for-algorithms-in-the-cortex) will be funded for 10 years by the Norwegian Research Council. The scientific goal of the Kavli Institute for Systems Neuroscience
-
converter control, and energy systems. Design, model, simulate, implement, and experimentally validate power electronic converter systems and associated control algorithms. Develop and evaluate advanced
-
). Finally, two research engineers (technical staff) will assist the PostDoc for all what concerns hardware/software development and maintenance of the robotic platforms. Where to apply Website https
-
. Our research focuses broadly on algorithm design and its connections to optimization, graph theory, and the foundations of machine learning. Recent work has centered on developing fast, dynamic
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
control applications. 2. Control Design nonlinear optimal control algorithms. Investigate advanced control strategies for compliant robotic manipulation. 3. Experimental Validation Validate the developed
-
was created to advance research in the mathematical, algorithmic, and statistical foundations of data science and their application to other disciplines. In addition to providing support to core foundational
-
) group at Aalborg University. The position is for two years and combines theoretical research, algorithm development, simulations, embedded implementation, laboratory experimentation, and industrial
-
support is available for mentoring undergraduate research, participating in faculty development, and leading student-centered initiatives. Faculty are expected to develop and teach a variety of courses
-
computing and artificial intelligence. Areas of interest include, but are not limited to, the following: Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks