Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- KTH Royal Institute of Technology
- Umeå University
- Blekinge Institute of Technology
- Lunds universitet
- Uppsala universitet
- University of Lund
- Lulea University of Technology
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- University of Skövde
- European Magnetism Association EMA
- Helmholtz-Zentrum München
- Karlstads universitet
- Karolinska Institutet, doctoral positions
- Linköping University
- Linnaeus University
- The Faculty of Technology and Society
- The University of Skövde
- Umeå universitet
- universitypositions
- 13 more »
- « less
-
Field
-
learning, large language models, or other generative AI systems. Experience with the design, implementation, deployment, optimization, or evaluation of AI/ML systems, or resource-constrained environments
-
consists of method development, in which existing simulation techniques are further developed using machine learning algorithms to enable more efficient, scalable, and realistic simulations and material
-
models for intelligent environments. The primary area of research involves developing AI models that can learn to represent real-world phenomena based on various types of observations, including video
-
, drawing on machine learning where it strengthens these methods. The research supports mission-critical scenarios and feeds into an end-to-end resilience proof of concept developed together with Swedish and
-
, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning
-
a doctoral student with a strong background in machine learning, mathematics, and modeling, and an interest in biological systems. The successful candidate will join a project to understand and model
-
on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
-
domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
-
our laboratories. Research activities at the division are organized in two research units: (1) Electrical Machines and Power Electronics, and (2) Power Grid and Components. In the research unit
-
Council to establish a center of excellence: Center for modeling adaptive mechanisms in living systems under stress. We are now opening a tenure-track Assistant Professor position in machine learning with