Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- SciLifeLab
- Chalmers University of Technology
- Umeå University
- Swedish University of Agricultural Sciences
- Linköping University
- Lulea University of Technology
- Karolinska Institutet
- Mälardalen University
- University of Lund
- Nature Careers
- Blekinge Institute of Technology
- Jönköping University
- Karolinska Institutet, doctoral positions
- Luleå University of Technology
- Lunds universitet
- Sveriges lantbruksuniversitet
- Umeå universitet
- Uppsala University
- Uppsala universitet
- 9 more »
- « less
-
Field
-
and estimation Multi-agent planning and cooperation Communication-aware coordination strategies Learning-based control in networked systems Resilience and safety in multi-agent systems
-
for a PhD position that combines research in the field of intelligent mission planning and learning-based optimization with real-world applications, in collaboration with Volvo Group. This is an ideal
-
Agentic AI is an emerging technology that fundamentally changes product development and evolution. We seek to study the implications of Agentic AI with the intent of accelerating the adoption
-
This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control
-
collaborations. The research group The position is in Ben Murrell’s group in MTC, based in the Biomedicum, in Karolinska’s Solna campus. The lab has worked across the experimental/computational interdisciplinary
-
research activities in stormwater management. The research is both theoretical and experimental with elements of computational technology and mathematical modelling and is based on close collaboration with
-
KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science This project involves generative modeling
-
study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group Our lab is advancing precision medicine through deep learning models
-
importance, for triggering shallow landslides in sensitive clays. The focus will be on developing computational models that will quantify the mechanisms, precursors and the time to failure. This will be
-
models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based methods in fluid dynamics and heat transfer to study multiphase