Sort by
Refine Your Search
-
Employer
- Chalmers University of Technology
- Chalmers tekniska högskola
- Lunds universitet
- KTH Royal Institute of Technology
- Lulea University of Technology
- Luleå University of Technology
- Luleå tekniska universitet
- Nature Careers
- Umeå University
- Umeå universitet
- Uppsala universitet
- Göteborgs universitet
- Jönköping University
- Karlstad University
- Karolinska Institutet (KI)
- Linköping University
- Linköpings University
- Linköpings universitet
- Linnaeus University
- Linneuniversitetet
- Lund University
- SciLifeLab
- University of Lund
- 13 more »
- « less
-
Field
-
. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
-
, complemented by extensive experimental verification in both laboratory and field environments. We aim to advance the understanding of electrical power systems for renewable energy, vehicles, buildings, and
-
mathematics, data science and machine learning for image recognition. Moreover, you will develop methods and software that will allow new characterization of nanoscale materials. Therefore, your research will
-
Electric machines High-voltage engineering The strength of our research lies in a solid theoretical foundation combined with extensive experimental verification, both in our laboratories and in the field
-
research lies in a solid theoretical foundation combined with extensive experimental verification, both in our laboratories and in the field. Our goal is to enhance the knowledge base related to electrical
-
case studies from these regions. Skills and proficiency in working with open-source software programs, such as QGIS and R, are advantageous, as well as demonstrated ability to contribute
-
3D MT data and familiarization with 3D anisotropic inversion software; Acquisition of new regional 3D MT data, data processing and 3D inversion; Interpretation of anisotropic models and integration
-
. Contribute to research projects within discrete-event systems, supervisory control theory, and formal verification of automation systems. Engage in teaching at undergraduate and master's levels, if required
-
the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
-
analysis in medicine. Experience of software version control with Git, typesetting with LaTeX, use of Linux computers; Experience with graph-based methods, and graph convolutional/neural networks; Experience