Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology
- University College Cork
- University of Kentucky
- Austrian Academy of Sciences, The Human Resource Department
- Carnegie Mellon University
- DAAD
- Duke University
- ETH Zurich
- European Space Agency
- Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava
- Helmholtz
- Kennesaw State University
- King Abdullah University of Science and Technology
- Nature Careers
- Oak Ridge National Laboratory
- Radboud University
- Texas A&M University
- Universitaet Bremen
- University of Amsterdam
- University of Copenhagen
- University of Liverpool
- University of New South Wales
- University of Nottingham
- Örebro University
- 14 more »
- « less
-
Field
-
, you will conduct research on learning and curiosity in early development, using behavioural, neuroscientific and modelling approaches. You will work closely with Prof. Sabine Hunnius and Dr Marlene
-
The Technology for Effective and Efficient Learning (TEEL) Lab at CMU is seeking a postdoctoral fellow who will contribute to educational research projects that collect and analyze data on student
-
diagnostic tools to support the managements of patients with stroke. This is a unique opportunity to work in a multi-disciplinary, collaborative environment at the interface of AI, machine learning
-
at the forefront of international AI research. We are looking for an enthusiastic researcher who is quick to grasp new concepts and ideas and can solve complex deep learning problems with high-quality
-
Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions
-
Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava | Slovakia | about 14 hours ago
Bratislava is on developing machine learning algorithms (with focus on neural networks) for perception and control of the semi-humanoid NICO robot and the transfer to the physical robot. Part of the job will
-
and innovative potential. As an ambitious research university, we stand for research-based learning approaches and a pronounced interdisciplinary orientation. We actively pursue international scientific
-
researcher with competence within robotics and robot learning to work on problems related to imitation learning, learning from interaction with humans, reinforcement learning, or policy transfer between robots
-
propose a research project. The goal is to mature the doctoral project together within the one-year funding phase and acquire funding for it. The programme offers: a contract as a graduate assistant for 19
-
and Livability Initiative (CLI). The researcher will leverage machine learning (ML) to enhance natural hazards forecasting, climate change impact assessment, and water resources assessment