Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Linköping University
- Lunds universitet
- University of Lund
- Umeå University
- SciLifeLab
- KTH Royal Institute of Technology
- Jönköping University
- Lulea University of Technology
- Uppsala universitet
- Karlstad University
- Linköpings universitet
- Göteborgs Universitet
- IFM/Linköping University
- KTH
- Karolinska Institutet, doctoral positions
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- Sveriges Lantbruksuniversitet
- Umea University
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Borås
- 14 more »
- « less
-
Field
-
situated in the field of machine learning. Potential research topics include, but are not limited to, algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine
-
objective of the project is to develop knowledge, models, and algorithms for physics‑informed autonomous control of heavy machinery in uneven and deformable terrain. Specific project tasks include fundamental
-
and tomographic radar capabilities. Our team is responsible for the algorithms which derive the biomass data product. The post-doc project is about extending the biomass algorithm to also include data
-
knowledge of collaborative software tools, and experience with the implementation of data acquisition or analysis algorithms You have a good track record of published articles in peer reviewed journals
-
, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly
-
logical perspectives. Key areas of interest include proof complexity, circuit complexity, communication complexity, meta-complexity, and their connections to algorithms. Lund University is located in
-
and algorithm development as well as engineering methods that enable robust and efficient practical solutions. As society and technology evolve toward increasingly large‑scale, data‑intensive, and
-
successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment
-
mathematical theory and algorithm development as well as engineering methods that enable robust and efficient practical solutions. As society and technology evolve toward increasingly large‑scale, data‑intensive
-
artificial intelligence and control systems. In this project, you will design new algorithms for semantic communication between the cloud and autonomous systems—technology that can transform how robots, drones