Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Karolinska Institutet
- KTH Royal Institute of Technology
- University of Lund
- Umeå University
- Lunds universitet
- Uppsala University
- Linköping University
- Stockholm University
- Uppsala universitet
- Umeå universitet
- Lulea University of Technology
- Jönköping University
- Swedish University of Agricultural Sciences
- Sveriges lantbruksuniversitet
- Karolinska Institutet (KI)
- Luleå University of Technology
- Mälardalen University
- University of Gothenburg
- Karlstads universitet
- Mälardalens universitet
- Örebro University
- Blekinge Institute of Technology
- Karlstad University
- Linnaeus University
- ; Lund University
- Accenture
- Chalmers University of Technology
- Högskolan Väst
- Nature Careers
- Umea University
- Umeå university
- University of Borås
- 24 more »
- « less
-
Field
-
group has expertise in radiology, biostatistics and machine learning. We have a strong collaboration with research groups at KTH, at KI, and internationally within two EU projects and a new collaboration
-
maintain a distributed environment for collaborative projects in machine learning (ML). The work involves collecting and processing data, setting up and configuring development environments, and providing
-
algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
-
sequences, and to develop new methodology to predict conformational diversity and changes using machine learning. With the help of deep-learning approaches methods to predict flexibility, conformational
-
, and machine learning. Duties Responsibilities may include: Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, spatially resolved RNA
-
As an ever increasing amount of data is generated in the "connected world" enabled by wireless networks, the development of machine-learning algorithms targeting wireless networks becomes critical
-
are now looking to appoint two postdocs in the field of AI and machine learning with a focus on scientific applications. Work assignments The primary focus of the postdoc positions is research in machine
-
your application! We are now looking to appoint two postdocs in the field of AI and machine learning with a focus on scientific applications. Work assignments The primary focus of the postdoc positions
-
the sustainable companies and societies of the future. Machine Learning Research Laboratory is looking for a doctoral student in the field of machine learning. We offer state-of-the-art resources
-
study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. Machine Learning Research Laboratory is looking for a doctoral