Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- University of Lund
- SciLifeLab
- Linköping University
- Nature Careers
- Umeå University
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- Umeå universitet
- Umeå universitet stipendiemodul
- Jönköping University
- KTH
- Karolinska Institutet (KI)
- Mälardalen University
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Linköpings universitet
- Linnaeus University
- Luleå University of Technology
- Luleå tekniska universitet
- Lund University
- Stockholms universitet
- Swedish University of Agricultural Sciences
- Uppsala universitet
- 18 more »
- « less
-
Field
-
-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
-
: Applied mathematics; Machine Learning; Mathematical Modelling Appl Deadline: 2026/03/24 10:59 PM UnitedKingdomTime (posted 2026/03/18 04:00 AM UnitedKingdomTime, listed until 2026/04/01 04:59 AM
-
by The Kempe Foundations. Project description Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly
-
UnitedKingdomTime) Position Description: Apply Position Description We are looking for a postdoc in mathematics with focus on educational science. The research project is focussed on digital learning materials
-
, Data Science, Machine Learning, or a closely related field. Strong programming skills in Python or MATLAB. Very good communication skills in English, both written and spoken, since the research
-
Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
-
are meritorious As a person, you are independent and cooperative. In your work, you are structured and can prioritize tasks. You have the skills to teach others. You are aware of issues related to diversity and
-
(e.g., COBRApy, COBRA Toolbox, RAVEN). Demonstrated experience with machine learning methods and their application to biological or scientific data. Strong programming skills in Python, with experience
-
application! Work assignments This position focuses on the development of theoretically grounded and practically scalable decentralized learning algorithms under realistic system constraints, including
-
computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely