Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- University of Lund
- Umeå University
- Linköping University
- Lunds universitet
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Chalmers University of Technology
- Uppsala universitet
- Linnaeus University
- Lulea University of Technology
- Nature Careers
- Stockholms universitet
- Umeå universitet
- Umeå universitet stipendiemodul
- Chalmers University of Techonology
- Chalmers tekniska högskola
- Fureho AB
- Linköpings universitet
- Luleå University of Technology
- Mälardalen University
- School of Business, Society and Engineering
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- University of Gothenburg
- 15 more »
- « less
-
Field
-
collaboration with the Materials Design Division (also at IFM) and with the Computer Vision Laboratory at the Department of Electrical Engineering (ISY), a world-class research environment specializing in
-
) and with the Computer Vision Laboratory at the Department of Electrical Engineering (ISY), a world-class research environment specializing in machine learning, deep learning, and visual perception
-
19 Sep 2025 Job Information Organisation/Company Lunds universitet Department Lund University, Department of experimental medical science Research Field Medical sciences Computer science Mathematics
-
, deep learning, and human computer interaction. Furthermore, this university is Sweden’s leading university in industrial collaboration. The Machine Learning (ML) subject at the department
-
degree in bioinformatics, data science, computer science, scientific computing, or associated field Documented experience with AI methods for analysis of tabular dataset and image-based data including deep
-
24 Sep 2025 Job Information Organisation/Company Karolinska Institutet (KI) Research Field Biological sciences » Biological engineering Chemistry » Biochemistry Computer science » Computer systems
-
Spatial Biology Computational Team (SBCT) at SciLifeLab. As a member of the SBCT team, you will play a key role in developing computational methods, analyzing complex datasets, and contributing
-
taken a prominent role in international collaborations such as CETAF, DiSSCo, GBIF, FishBase, and CBOL. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
-
‑biology discoveries. This position offers the freedom to innovate, the support of a multidisciplinary team, and the opportunity to translate computational insights into tangible clinical impact. You will be
-
» Biomedical engineering Engineering » Computer engineering Engineering » Biomaterial engineering Engineering » Chemical engineering Engineering » Systems engineering Researcher Profile Recognised Researcher (R2