Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers University of Technology
- Karolinska Institutet
- University of Lund
- Lunds universitet
- KTH Royal Institute of Technology
- Uppsala University
- Uppsala universitet
- Karolinska Institutet (KI)
- Stockholm University
- Swedish University of Agricultural Sciences
- Umeå University
- SciLifeLab
- Linköping University
- Sveriges lantbruksuniversitet
- Lulea University of Technology
- Luleå University of Technology
- Lund University
- Mälardalen University
- Mälardalens universitet
- Umeå universitet
- Chalmers University of Technology
- Jönköping University
- Karlstad University
- Karlstads universitet
- Umeå university
- University of Gothenburg
- 16 more »
- « less
-
Field
-
to the ACTS (A Common Tracking Software) framework to cope with the intense environment of the HL-LHC. The candidate could expect to help co-supervise PhD students on ATLAS and have the opportunity to supervise
-
implementation is a plus, but not a requirement as we have the expertise to teach these as part of the project. A higher degree such as a PhD, or progress in a PhD programme is a merit. About the employment
-
environments. - Efficient and robust translation between GAI and robots with reliable two-way interfaces - Dynamics-aware mission planning and execution with multi-modal sensor data Quantum Machine Learning
-
. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create
-
Swedish and international partners within academia, industry and society enables scientific excellence and creates an innovative environment. In addition to the 200 researchers and PhD students, MC2 houses
-
Swedish and international partners within academia, industry and society enables scientific excellence and creates an innovative environment. In addition to the 200 researchers and PhD students, MC2 houses
-
PhD students, two MSc students, and a technician (https://leighnd.github.io/people/ ). We are committed to nurturing an inclusive environment, one founded on mutual respect and support. We are also big
-
unsymmetric robots - Distributed task planning for collaborative missions - Cluttered environments perception and control - Learning-based multi-agent perception and mapping in static and dynamic environments
-
- Terrain classification and multi-layered environment mapping - Digital twin generation for natural environments - Semantic scene-understanding in natural environments for robust decision-making - Learning
-
liver disease. The group consists of postdoctoral fellows, PhD students and master students with strong expertise in computational biology. Currently, the group is looking for a research assistant for a