Sort by
Refine Your Search
-
Listed
-
Employer
- KTH Royal Institute of Technology
- SciLifeLab
- Chalmers University of Technology
- Lunds universitet
- Blekinge Institute of Technology
- Chalmers tekniska högskola
- Linköping University
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Lulea University of Technology
- Umeå University
- Örebro University
- 1 more »
- « less
-
Field
-
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, physical
-
are not limited to models and algorithms for knowledge discovery, novel algorithmic and statistical techniques for big data management, optimization for machine learning, analysis of information and social
-
their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. Experience in machine learning, algorithmic theory, or code
-
of ecological processes involving animals and plants across a range of spatial and temporal scales understanding of raster data processing including the theory and implementation of relevant algorithms
-
++, maintained on github and configured via python. You will work with .root files and explore different event generators as well as machine learning tools and algorithms. The nature of LDMX as an international
-
develop new communication theory and signal processing algorithms. The goal will be to develop theory, algorithms, and network architectural concepts to deliver ubiquitous network services across the globe
-
the mathematical foundations of these fields, e.g., designing innovative algorithms and control strategies, as well as the development of technical solutions to adapt these new methods to applications in the areas
-
learning, optimization algorithms, and interoperability frameworks for optimal energy management across Europe. KTH leads technological landscape analysis, multi-energy investment planning tool development
-
). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction solvers. Computational aeroacoustics. Swedish is not required
-
knowledge in thermal energy storage, techno-economic analyses, and AI tools/algorithms is a merit. In addition to the above, there is also a mandatory requirement for English equivalent to English B/6