Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Swedish University of Agricultural Sciences
- Umeå University
- SciLifeLab
- Linköping University
- Linnaeus University
- Lulea University of Technology
- Mälardalen University
- Örebro University
- Jönköping University
- Blekinge Institute of Technology
- European Magnetism Association EMA
- Karlstad University
- The Royal Institute of Technology (KTH)
- 6 more »
- « less
-
Field
-
capabilities at the beamline, is also considered as a merit. Qualifications A PhD in physics, solid state chemistry, or similar, obtained within no longer than 3 years from the application submission date
-
, computational materials science, computer science, or a related field, awarded no more than three years prior to the application deadline*. Background in physics-based battery modelling and/or machine learning is
-
courses and educational programs in forestry and wood technology at both undergraduate and advanced levels. Subject area for the position: Postdoc fellowship in forest products Location until further notice
-
model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
-
bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
-
. Programming skills in R is a requirement, and programming skills in dynamic modelling in other languages is a merit. Fluency in spoken and written English is a requirement. Qualifications: PhD degree in ecology
-
candidate will be a key member of the DarkTree project, funded by the Knut and Alice Wallenberg Foundation. The project aims to fill the gaps in the genome-based insect tree of life using the unique global
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
-
of organic semiconductor materials. Work assignments This project, funded by the Wallenberg Academy Fellows programme https://kaw.wallenberg.org/en/research/creating-greener-semiconductors , aims to provide a
-
degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high