Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Chalmers tekniska högskola
- Lunds universitet
- University of Lund
- Umeå University
- KTH Royal Institute of Technology
- Mälardalen University
- Umeå universitet
- Örebro University
- Linköping University
- Linköpings University
- Linneuniversitetet
- Lulea University of Technology
- Luleå University of Technology
- Luleå tekniska universitet
- SciLifeLab
- Swedish University of Agricultural Sciences
- University of Gothenburg
- Uppsala universitet
- 9 more »
- « less
-
Field
-
want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international
-
principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major
-
knowledge and skills through interaction with their surrounding environment. Embodied AI requires tools, algorithms, and techniques to cope with real-world challenges including but not limited to uncertainty
-
environment. Embodied AI requires tools, algorithms, and techniques to cope with real-world challenges including but not limited to uncertainty, physical constraints, scarce data, and high variability. In
-
developed collaboratively to resolve how temperature and light variation influence habitat-specific and whole-ecosystem carbon metabolism and productivity, biomass distributions from plankton to fish, and
-
communications and networks Beamforming and MIMO algorithms Millimeter wave communications Terahertz band communications Visible light communications Channel modeling and/or interference modeling Beam tracking and
-
Technology at Lund University, The Faculty of Engineering, is unique in covering the entire technology stack — from wireless hardware and radio systems to distributed cloud platforms and applications. This broad
-
the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
-
, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories. This postdoctoral position is
-
for species concentration, temperature distribution, particle size and distribution characterization. Perform experiments of laser diagnostic of aluminum droplet combustion and support the modelling work with