Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Lulea University of Technology
- Umeå University
- Karolinska Institutet
- SciLifeLab
- Linköping University
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Sveriges lantbruksuniversitet
- Luleå University of Technology
- Mälardalen University
- University of Lund
- Lunds universitet
- Nature Careers
- University of Borås
- Blekinge Institute of Technology
- Jönköping University
- Karlstad University
- Karolinska Institutet, doctoral positions
- Umeå universitet
- 10 more »
- « less
-
Field
-
internationally recognised, and thus we are active members in the ALERT Geomaterials network and many international committees. Our international team with over 15 full-time researchers offers a great working
-
driver of primary production, yet anthropogenic discharges from agriculture and aquaculture often lead to eutrophication. This project will develop innovative sensor software capable of quantifying a suite
-
research at The Department of Chemistry – BMC at our website . Project description The project is part of a larger EU-funded doctoral network, which aims to advance mass spectrometric techniques and methods
-
Important for this Position: Practical experience handling large Swedish national registers (population-wide data). Documented expertise in R or equivalent statistical software. Strong experience with SCCS
-
to develop international networks as well as contacts with stakeholders. We offer a vibrant research environment at the Department of Ecology with a well-structured PhD education. If you find the project
-
. Application deadline is May 9, 2025. Project Description The Internet is enabled by a network of silica fibers with a step-index profile. Since the invention of the optical fiber 50 years ago, its design has
-
. You will work closely with other researchers in quantitative genetics as well as in a network of external partners, but you will independently lead and advance the work within the research area. This
-
of cancer cells. The models are trained on high-throughput datasets, including metabolomics, proteomics, and transcriptomics, and constrained to align with the cell’s molecular networks. This allows us to
-
learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security. The Division of Systems and Control enjoys
-
of moments, of electromagnetic problems. We use established tools but perform the majority of the scientific work in own software based on Matlab or C++. We offer applicants the opportunity to deepen