Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- SciLifeLab
- Lunds universitet
- Linköping University
- Umeå University
- University of Lund
- Uppsala universitet
- Karolinska Institutet (KI)
- Nature Careers
- Umeå universitet stipendiemodul
- Chalmers tekniska högskola
- Jönköping University
- Umeå universitet
- KTH
- Linköpings universitet
- Stockholms universitet
- Swedish University of Agricultural Sciences
- University of Borås
- Karlstads universitet
- Kungliga Tekniska högskolan
- Lulea University of Technology
- Luleå University of Technology
- chalmers tekniska högskola
- Örebro University
- Chalmers tekniska högskola AB
- European Magnetism Association EMA
- IFM, Linköping University
- Institutionen för akvatiska resurser
- Karlstad University
- Karolinska Institutet
- Karolinska Institutet, doctoral positions
- LInköpings universitet
- Linkopings universitet
- Linköping university
- Lule university of technology
- Luleå tekniska universitet
- Luleå university of technology
- SLU
- Sveriges Lantbruksuniversitet
- University of Skövde
- 31 more »
- « less
-
Field
-
at the Division of Data Science and AI at the Department of Computer Science and Engineering . Join our innovative team and contribute to exciting research in theory of machine learning, in a collaborative and
-
contribute to exciting research in theory of machine learning, in a collaborative and dynamic environment. In the rapidly growing area of artificial intelligence (AI), this position is a uniqure chance to
-
application! We are looking for a research engineer within the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science. In this position, you will have the
-
, both over the wireless interface and within the core network, will be driven by AI and machine-learning applications. This research will develop efficient communication strategies to support
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå University is offering a PhD position in Computing Science with a focus on machine learning for graph
-
risk factors. The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include
-
). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
-
at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
-
-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
-
materials and technologies. Using advanced computational modeling and machine learning, we seek to elucidate the mechanisms governing the self-assembly of lignin in different solvents and the formation