Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Chalmers tekniska högskola
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Nature Careers
- Linköping University
- Linnaeus University
- Lunds universitet
- SciLifeLab
- Umeå University
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Lund
- Uppsala universitet
- chalmers tekniska högskola
- Jönköping University
- Karlstad University
- Linneuniversitetet
- Luleå University of Technology
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- 11 more »
- « less
-
Field
-
and their sustainability aspects. Collaborate closely with other members of the group and experts in organic chemistry and plant biology, engaging in interdisciplinary research. Network at international
-
openness to learning and applying new computational and experimental methods. Passion and dedication to working in a demanding project Very good oral and written communication skills in English. Demonstrated
-
datasets from public repositories, ensuring a comprehensive and reproducible resource for the community. Key responsibilities include: Data harmonization and quality control: align disparate modalities
-
combination with machine learning and/or data mining techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model
-
) on the effects of a changing climate in Arctic ecosystems. We offer a working environment with world-leading excellence on a broad range of disciplines, strongly connected to a global network of arctic research
-
Tick-borne Bacteria is part of the Swedish Laboratory Network in Microbiology (SLIM) coordinated by the Public Health Agency of Sweden. NRL's mission is to provide primary and confirmatory diagnostics
-
present results from your research and develop your network. In addition to your own research and experiments, you will also supervise and help train new students when they join the group. This will help
-
power network. The project will be carried out in close collaboration with leading industrial partners, including Hitachi Energy Research, and will address the pressing challenge of maintaining power
-
experimentation to address one of the most critical challenges in modern energy systems, maintaining stability in an increasingly converter-dominated power network. The project will be carried out in close
-
an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems