Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- University of Lund
- Linköping University
- Lulea University of Technology
- Lunds universitet
- Nature Careers
- SciLifeLab
- Umeå University
- Uppsala universitet
- Stockholms universitet
- Blekinge Institute of Technology
- KTH
- Karlstad University
- Lund University
- Mid Sweden University
- Mälardalen University
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- University of Gothenburg
- 10 more »
- « less
-
Field
-
are looking for a curious and driven postdoctoral researcher to join a project focused on improving how we study and optimize medical treatments. The work centers on advancing a vessel-on-a-chip platform—a
-
exists for researchers to design and improve animal tests. These limitations hinder the development of optimal experiments and incur cruel animal suffering and killing.The position is two years and you
-
to the design and optimize the metal combustors. Develop and implement image analysis techniques for particle evaporation, fragmentation and alumina condensation. Support project and thesis students working
-
. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
-
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
-
of hyperdimensional computing and vector symbolic architectures (VSA). As a Senior Research Engineer, you will: Implement, optimize, and run simulation code in Matlab and Python. Develop lab assignments for upcoming
-
are not limited to models and algorithms for knowledge discovery, novel algorithmic and statistical techniques for big data management, optimization for machine learning, analysis of information and social
-
and enhance grid resilience. This project aims to develop optimal coordination and control strategies for microgrids to achieve self-balancing when they are disconnected from the grids, and grid support
-
feedstocks. ACCELERATE gathers leading academics and industries that want join forces. Within this effort, this position will focus on the engineering, analysis, and optimization of catalytic reactors
-
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