Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Chalmers tekniska högskola
- Lunds universitet
- Uppsala universitet
- Linköping University
- University of Lund
- KTH Royal Institute of Technology
- Swedish University of Agricultural Sciences
- Umeå University
- KTH
- SciLifeLab
- Chalmers
- Chalmers te
- Göteborgs universitet
- Karolinska Institutet (KI)
- Linköpings University
- Linköpings universitet
- Linnaeus University
- Linneuniversitetet
- Lund University
- Mälardalen University
- Mälardalens universitet
- Nature Careers
- Stockholm University
- Sveriges Lantbruksuniversitet
- The Royal Institute of Technology (KTH)
- Umeå universitet
- Umeå universitet stipendiemodul
- chalmers tekniska högskola
- 19 more »
- « less
-
Field
-
apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
-
. We offer a dynamic environment where theory meets real-world application, and where your work can contribute to the development of the next generation of smart energy systems. About us The Division of
-
power grids. In this role, you will combine theory and experimentation to address one of the most critical challenges in modern energy systems, maintaining stability in an increasingly converter-dominated
-
We are looking for a postdoctoral researcher who wants to contribute to the development of next-generation frameworks for resilient power grids. In this role, you will combine theory and
-
the local and distant universe. You will join a vibrant and collaborative research environment that combines observations, theory, and data-intensive methods to explore key processes shaping galaxies and
-
: Postdoctoral Position Location: Stockholm, Stockholm 10691, Sweden [map ] Subject Area: Physics / Condensed Matter Theory Appl Deadline: 2025/10/15 11:59PM (posted 2025/02/04, listed until 2025/10/15
-
. The workplace The position is located at the Laboratory of Organic Electronics (LOE ), specifically within the Theory and Modelling for Organic Electronics unit in the group led by Associate Professor Glib
-
, innovative technologies for biomass conversion, neural network systems, and artificial intelligence for more efficient mathematical and computational approaches. Subject description The work focuses on
-
genetic analyses and generalised linear mixed-effects models, and ideally also in the use of some mathematical models (e.g. Integral Projection Models) Experience in data processing, statistical analysis
-
the equivalent of a doctorate in statistics, bioinformatics, mathematical statistics or equal subject is eligible for appointment as postdoctoral researcher. This eligibility requirement must be met no later than