Sort by
Refine Your Search
-
Listed
-
Employer
- University of Lund
- Chalmers University of Technology
- Nature Careers
- Swedish University of Agricultural Sciences
- Umeå University
- Linköping University
- Lulea University of Technology
- Linnaeus University
- SciLifeLab
- Jönköping University
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Lunds universitet
- Mälardalen University
- Umeå universitet stipendiemodul
- Luleå University of Technology
- Sveriges lantbruksuniversitet
- Uppsala universitet
- 8 more »
- « less
-
Field
-
qualified and motivated postdoctoral researcher. The group studies the behavioral, neural, and computational principles behind human learning and decision-making in social environments. Our interdisciplinary
-
algorithms; experience in 3D/4D (X-ray tomography) image processing; experience in machine-/deep-learning based image analysis; knowledge of tomographic reconstruction methods; experience in materials research
-
motion planning - Predictive collaboration with heterogeneous teaming - Multi-agent navigation in constrained environments - Data-driven and learning based control - Meta-learning for emergent behavior in
-
Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
-
algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
-
). You may also be part of other project groups working with the CTR as a base. You will be expected to participate in the research community through active participation in research seminars and other
-
environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based traversability-aware path planning and safe trajectory generation - Resilient mission design for
-
classification and multi-layered environment mapping - Digital twin generation for natural environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based
-
these postdoctoral positions are aimed for you! Subject description The project, Dual Control at Scale: Learning-based control for systems with millions of states, is funded by an ERC Advanced Grant, a
-
analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with