Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- Chalmers University of Technology
- Linköping University
- University of Lund
- Umeå University
- Nature Careers
- Karlstad University
- Lulea University of Technology
- Blekinge Institute of Technology
- Swedish University of Agricultural Sciences
- Linnaeus University
- Lunds universitet
- Karlstads universitet
- Mälardalen University
- Uppsala universitet
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- NORDITA-Nordic Institute for Theoretical Physics
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Gothenburg
- Örebro University
- 12 more »
- « less
-
Field
-
of computational fluid dynamics (CFD). Knowledge of finite element method (FEM). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction
-
on processing and analyzing large-scale proteomics datasets. The Project Assistant will develop workstreams and execute existing omics and machine learning-based pipelines to process and postprocess this data
-
that the self-driving vehicle cannot handle. The research work on teleoperated vehicles with a focus on vehicle dynamics is about research on human and machine interaction. The work also deals with control
-
, e.g git. Experience of Linux/UNIX-terminal. Excellent communication- and collaboration skills. You speak and write English fluently. Meriting Experience of HPC or corresponding computer systems
-
development to complete the required courses within two years of employment, or that they apply for validation of prior learning. For other qualification requirements, please refer to Karlstad University’s
-
of prior learning. For other qualification requirements, please refer to Karlstad University’s Appointments Procedure. • Appointments Procedure at Karlstad University (pdf) The position requires a good
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
-
The postdoc fellow will conduct research in the intersection of AI/Machine Learning and Software Technology. The advertised position will be placed in the DISTA research group (https://lnu.se/en/dista
-
learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide