Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Linköping University
- University of Lund
- Lulea University of Technology
- Nature Careers
- SciLifeLab
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Göteborgs universitet, Department of Marine Sciences
- IFM, Linköping University
- IFM/Linköping University
- Linköpings universitet
- Lunds universitet
- Stockholms universitet
- Umeå universitet stipendiemodul
- 6 more »
- « less
-
Field
-
. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
-
agricultural sector is also necessary for the position. To succeed in the role, documented experience of conducting high-quality research is required. We are looking for someone who is analytical, organized, and
-
measurement technique development, atmospheric modelling, and advanced methods for integrating observational and model data through data assimilation and machine learning. About the research project The overall
-
, or related areas, fields or environments. We expect experience and competences in one or more fields of research on late working life; labour markets; public, branch and employer policies; lifelong learning
-
, documented experience of conducting high-quality research is required. We are looking for someone who is analytical, organized, and highly motivated. You must be able to work independently as well as in team
-
documented in publications. Curiosity, drive and ability to maintain a well-organized work environment. Strong laboratory/instrumental skills· An analytical approach Excellent written and oral
-
measurement technique development, atmospheric modelling, and advanced methods for integrating observational and model data through data assimilation and machine learning. About the research project The overall
-
application! Work assignments This position focuses on the development of theoretically grounded and practically scalable decentralized learning algorithms under realistic system constraints, including
-
, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
-
are looking for a highly motivated postdoctoral researcher with strong analytical and programming skills, solid expertise in computational biology or bioinformatics, and a genuine interest in translational