Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Lunds universitet
- University of Lund
- Chalmers University of Technology
- KTH Royal Institute of Technology
- SciLifeLab
- Umeå universitet stipendiemodul
- Linköping University
- Nature Careers
- Umeå University
- Umeå universitet
- Uppsala universitet
- Karolinska Institutet (KI)
- Sveriges Lantbruksuniversitet
- Göteborgs Universitet
- IFM, Linköping University
- KTH
- Linköpings universitet
- Lulea University of Technology
- Luleå University of Technology
- Lund University
- Mälardalen University
- Swedish University of Agricultural Sciences
- The Institute of Clinical Sciences
- Umea University
- University of Borås
- 15 more »
- « less
-
Field
-
AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in rough
-
for physical AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in
-
applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include: Development and application of AI and machine
-
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
-
postdoctoral researcher and the supervisors Jens Sjölund (machine learning) and Leiting Zhang (battery sensing). The expected outcome is methodology and modelling tools for interpretable and generalizable
-
project has a strong focus on developing and applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include
-
: 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
-
Experience of research in a laboratory is a plus Experience in systems programming and computer security is advantageous Scientific skills. Educational ability. Awareness of diversity and equal treatment
-
%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
-
inference, longitudinal methods, survival analysis, regression modeling, machine learning, or prediction modeling are required, as well as experience with statistical software such as R, SAS, or STATA. Prior