Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Umeå University
- Swedish University of Agricultural Sciences
- Linköping University
- SciLifeLab
- Lulea University of Technology
- Jönköping University
- Linnaeus University
- Mälardalen University
- Blekinge Institute of Technology
- KTH Royal Institute of Technology
- The Royal Institute of Technology (KTH)
- University of Borås
- 5 more »
- « less
-
Field
-
and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
-
on collating and analyzing the large volumes of carbon cycle data gathered from the site to date, then preparing the resulting analyses for publication in scientific journals. Likely topics for papers include
-
the Swedish Knowledge Foundation. In this position, you will belong to a research group with six senior researchers and several PhD students. The research focuses on managing data and information essential
-
, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several
-
curious and motivated postdoc with a PhD in biomedical engineering, physics, materials science, organic chemistry—or similar—and a drive to explore new frontiers in science. 👉 Learn more and apply here
-
interdisciplinary and to learn new skills and to perform research in collaboration with others. We seek candidates with the following qualifications: A doctoral degree in a Bioscience-related field awarded
-
applied machine learning projects in, e.g., computer vision, in close collaboration with industry partners. The position is not connected to an existing project, so the postdoc fellow will either join an
-
include the design and implementation of finite element multiscale models and machine learning algorithms, analyzing related experimental data, and collaborating with industrial collaborators to validate
-
willing and able to learn quickly within a collaborative and interdisciplinary team. Instructions on how to apply For more information and documents/templates/europass link, please visit https
-
between intense laser fields and matter, attosecond science, quantum information, solid-state X-ray spectroscopy, laser applications in medicine and biology, as well as industrial applications. More