Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Bucharest Universty of Economic Studies
- ETH Zurich
- Technical University of Munich
- Ghent University
- Nature Careers
- AALTO UNIVERSITY
- ETH Zürich
- KU LEUVEN
- Stony Brook University
- UNIVERSITY OF VIENNA
- UiT The Arctic University of Norway
- University of Vienna
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e)
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- IMT Atlantique
- ISCTE - Instituto Universitário de Lisboa
- Indiana University
- KTH Royal Institute of Technology
- Newcastle University;
- Tallinn University of Technology
- Technical University of Denmark
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- University of Algarve
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); today published
- University of Jyväskylä
- University of Luxembourg
- University of Minnesota
- University of Sheffield
- University of Southern Denmark
- University of Texas at Austin
- University of Utah
- University of Warsaw
- Universität Siegen
- 28 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
-
edge AI hardware/software. Contribute to designing and evaluating scheduling algorithms for virtualized or distributed AI resources under varying load, latency, and failure conditions. Build and test a
-
, the position of Master Students with 50% of the regular working time are to be filled as soon as possible, for the project AI4EFin, principal investigator Prof. Dr. Stefan Lessmann. The position is limited to 6
-
of elements) of the model.; 3) develop an optimization algorithm based on genetic algorithms and metamodels and 4) design functionally graded OC scaffolds using different biomaterials. The doctoral candidate
-
will be based in Odense, under the primary supervision of Prof. Ricardo J. G. B. Campello , but they will be expected to also work closely with other PhD students, postdocs, and collaborators both from
-
to source localization based on microphone arrays or distributed sensors. This PhD project will focus on the development of novel methods and algorithms for airborne noise source localization in generic urban
-
deployments that can coexist for performing spectrum sensing. DC2: Physics-Informed AI-empowered aerial and terrestrial distributed sensing Host: KU Leuven, Belgium Main supervisor: Prof. Hazem Sallouha [KUL
-
. The successful candidate will be based in Odense, under the primary supervision of Prof. Ricardo J. G. B. Campello , but they will be expected to also work closely with other PhD students, postdocs, and
-
participation in several European and Dutch national projects. Our key research areas include ultra-reliable low latency communications, resource allocation, digital twins, distributed massive MIMO and flexible
-
computing. This will include, but is not limited to, the design of distributed quantum algorithms, circuits, and error correction, as well as the interplay between circuit optimization and circuit