Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Carnegie Mellon University
- NEW YORK UNIVERSITY ABU DHABI
- Delft University of Technology (TU Delft)
- Istituto Italiano di Tecnologia
- Mälardalen University
- Aalborg University
- EPFL
- Rutgers University
- Texas A&M University
- Chalmers University of Technology
- Duke University
- Inria, the French national research institute for the digital sciences
- Leiden University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northeastern University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SUNY University at Buffalo
- University of Nevada, Reno
- University of North Carolina at Chapel Hill
- University of Oslo
- University of Oxford
- Argonne
- Boston University
- Bournemouth University;
- Brookhaven National Laboratory
- Bundesanstalt für Materialforschung und -prüfung (BAM)
- ETH Zürich
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- Grenoble INP - Institute of Engineering
- Institute for bioengineering of Catalonia, IBEC
- McGill University
- Michigan Technological University
- Nanyang Technological University
- National Energy Technology Laboratory (NETL)
- New York University
- Norwegian University of Life Sciences (NMBU)
- Oak Ridge National Laboratory
- Radboud University
- Ryerson University
- Singapore-MIT Alliance for Research and Technology
- Stanford University
- Technical University of Munich
- Texas A&m Engineering
- The University of Western Australia
- Toyota Technological Institute
- Umeå University
- University of Amsterdam (UvA)
- University of Arkansas
- University of Borås
- University of California
- University of California San Diego
- University of Delaware
- University of Miami
- University of Southern Denmark
- University of Sydney
- University of Texas at Arlington
- University of Texas at Tyler
- University of Twente
- Université de Caen Normandie
- Virginia Tech
- Vrije Universiteit Amsterdam (VU)
- 52 more »
- « less
-
Field
-
analytical skills. Knowledge about statistical machine learning, robotic perception, multimodal AI algorithms. Proven experience with reinforcement learning algorithms and implementations. Experience in
-
prediction) Human-Like Robotics (humanoid robotics, co-bots, soft robotics, and/or wearable sensing skins/technologies) They will be responsible for applying theory and engineering techniques to the design
-
, or robotics. • Knowledge of artificial intelligence, machine learning, computer vision, • sensing, data analytics, simulation, human-technology interaction, or cyberinfrastructure. • Knowledge of construction
-
backgrounds such as materials science, chemistry, data science, and robotics along with close interactions with industry partners. These engagements will play a vital role in ensuring success of programs and
-
involving large companies under the “Autonomous Systems, Robotics, and Machine Tools” track of the IASMIN Platform (a FAPESP Applied Research Center in AI). The work is to be carried out on-site
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
-
physical AI for smart urban management, with a focus on human–robot interaction in real-world urban environments. The postdoctoral researcher will support the design, deployment, and evaluation of physical
-
will develop a design-build-test-learn cycle, combining high throughput experiments and active learning to obtain synthetic cells with the desired properties. You will integrate liquid handling robots
-
. FRAME’s will be validated on real-world use cases (robotics, healthcare and software development frameworks). The research associate will be affiliated with the Data Science & Intelligent Systems based in