Sort by
Refine Your Search
-
Country
-
Employer
- ETH Zurich
- Ghent University
- Technical University of Munich
- UNIVERSITY OF VIENNA
- University of Sheffield
- University of Vienna
- Delft University of Technology (TU Delft); today published
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Indiana University
- KTH Royal Institute of Technology
- KU LEUVEN
- Nature Careers
- University of Minnesota
- University of Texas at Austin
- University of Warsaw
- 6 more »
- « less
-
Field
-
100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and
-
of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial intelligence, especially in the areas of reinforcement learning and deep probabilistic models. To strengthen our team
-
, and energy efficiency—and meeting these demands will require smart, distributed computing built directly into the network. This research project focuses on designing AI-native edge computing systems
-
Learning ” within the research group “Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial intelligence
-
Machine Learning ” within the research group “ Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial
-
into embedded prototypes to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems
-
probability distribution known only up to a normalization constant, is fundamental in Computational science, engineering, and Bayesian statistics. Recent research suggests that gradient flow-based algorithms in
-
Machine Learning ” within the research group “Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial
-
ETH Zurich | Space and the Gravitational Physics Research group led by Prof. Michele Vallisneri in the Dept. of Physics at ETH Zurich invite applications for a Software Engineer position (for one
-
of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking