Sort by
Refine Your Search
-
Listed
-
Employer
- Mälardalen University
- Lulea University of Technology
- Chalmers University of Technology
- Linköping University
- Umeå University
- Uppsala universitet
- Swedish University of Agricultural Sciences
- Blekinge Institute of Technology
- Karolinska Institutet
- Linnaeus University
- Nature Careers
- Umeå universitet
- University of Lund
- 3 more »
- « less
-
Field
-
detection. Manage data with custom-developed filtering techniques. Use the data in architectural design processes involving reuse to create design options for reused component distribution using machine
-
This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
-
, are studied and developed in this project. We will focus on continual learning in situations where several devices cooperate and learn together, i.e., distributed learning. This is a situation of great
-
and gender distribution as well as ethnic and cultural diversity bring to the organization. Application The application is to be completed online. Please submit your application by clicking
-
are firmly expected. The exact distribution of tasks between the positions, including the ratio of dry and wet lab work, is subject to discussion based on the skills and aspirations of the successful
-
plan your work. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization. #LI-AE1 Application The application is to
-
Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
-
user-friendly sensor systems for health data monitoring, reliable health data measurements and data communication in distributed environments, as well as reliable distributed signal processing and AI
-
and application architectures with implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable
-
and application architectures with implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable