Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- AALTO UNIVERSITY
- University of Groningen
- University of Luxembourg
- University of Oxford
- Aix-Marseille Université
- DURHAM UNIVERSITY
- Durham University
- Heriot Watt University
- Maastricht University (UM); Maastricht
- Technical University of Munich
- University of Minnesota
- University of Sydney
- University of Turku
- Bocconi University
- Central China Normal University
- Chalmers University of Technology
- Delft University of Technology (TU Delft); Delft
- ETH Zürich
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- Georgia Institute of Technology
- Ghent University
- Heidelberg University
- Heriot-Watt University;
- ICN2
- Indiana University
- Inria, the French national research institute for the digital sciences
- Institut of Mathematics of Marseille
- Maastricht University (UM)
- Max Planck Institute for Radio Astronomy, Bonn
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Nature Careers
- Northwestern University
- Princeton University
- Stanford University
- Swansea University
- THE UNIVERSITY OF HONG KONG
- Technical University of Denmark
- UNIVERSITY OF ADELAIDE
- UNIVERSITY OF HELSINKI
- Umeå University
- Universitatea Maritimă din Constanța
- University of Adelaide
- University of Electronic Science and Technology of China (UESTC)
- University of Florida
- University of Graz
- University of Houston Central Campus
- University of Leeds
- University of Southern California
- University of Southern Denmark
- University of Texas at Dallas
- University of Virginia
- University of Warsaw: Faculty of Mathematics, Informatics and Mechanics
- Virginia Tech
- Vrije Universiteit Amsterdam (VU)
- Yale University
- 47 more »
- « less
-
Field
-
-funded project “Exploring the Promises and Pitfalls of AI Technology in Civil Service Provision (VALUE-AI)”, lead by dr. Kristina S. Weißmüller, in collaboration with prof. dr. Gjalt de Graaf and the
-
responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
-
by attracting highly qualified human resources from abroad, around whom excellence research groups will be established and developed. General Objective: The overall goal of the project “Maximizing
-
processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from investigating fundamental properties
-
learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI
-
application. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy
-
comprises four faculty (Profs. Chang, Konigsberg, Korytov, and Takahashi), five postdocs, five graduate students, and a group of engineers and technical personnel — making us one of the largest U.S
-
associate will conduct theoretical studies and numerical simulations, develop new methods and algorithms, and mentoring junior group members. Physical Demands and Working Conditions Physical Activities
-
methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation
-
. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or