Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Umeå University
- SciLifeLab
- University of Lund
- KTH Royal Institute of Technology
- Lunds universitet
- Blekinge Institute of Technology
- European Magnetism Association EMA
- Karolinska Institutet (KI)
- Linköping University
- Linköpings universitet, ITN
- Lulea University of Technology
- Luleå University of Technology
- Umeå universitet
- Umeå universitet stipendiemodul
- Uppsala universitet
- Örebro University
- 7 more »
- « less
-
Field
-
algorithm development and hands-on fieldwork; rigour and reliability in data handling; and strong collaboration across academic and industrial partners. Information This is a full-time position for two years
-
possible. One or two extended research visits are encouraged during the doctoral study. Applicants should have a strong interest in the mathematical analysis of algorithms in general and cryptography in
-
learning tools and algorithms. The position will also require you to contribute to the development of data-driven methods. The nature of LDMX as an international project will require you to work
-
, financed by the Swedish Energy Agency, you will work closely with industrial partners ESAB and Höganäs, with the overall vision of developing effective algorithms for rapid, robust predictions of welding
-
, algorithms, and tools for human-centered intelligent realities, to lead the way for future immersive, user-aware, and smart interactive digital environments. The project is divided into five separate Research
-
packages, solve SLAM, 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
-
, 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
-
in the presence of strategic, realistically constrained adversaries and probabilistic uncertainty. We seek to develop analysis and design algorithms that incorporate cross-layer information and account
-
or communications venues. Interest in mission-critical and critical infrastructure scenarios. What you will do Develop models, algorithms and optimization methods for resilient 6G transport networks, using machine
-
investigate suitable topologies, materials, and components to achieve high efficiency and scalability up to 500 kW. Advanced control algorithms will be developed to ensure stable power flow under varying