Sort by
Refine Your Search
-
Category
-
Employer
- SciLifeLab
- Linköping University
- Umeå University
- Swedish University of Agricultural Sciences
- University of Lund
- Lunds universitet
- Uppsala universitet
- Lulea University of Technology
- Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg
- Luleå University of Technology
- Mälardalen University
- The Swedish University of Agricultural Sciences
- Blekinge Institute of Technology
- Chalmers University of Technology
- Göteborgs universitet
- Institutionen för Biologi och miljövetenskap
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Stockholm University
- Sveriges Lantbruksuniversitet
- Sveriges lantbruksuniversitet
- The Swedish University of Agricultural Sciences (SLU)
- 12 more »
- « less
-
Field
-
regions. Implementation methods will include: Seasonal sampling of food web components, from primary producers to fish, during open-water (summer) and under-ice (winter) conditions. Analysis of biomarkers
-
of food web components, from primary producers to fish, during open-water (summer) and under-ice (winter) conditions. Analysis of biomarkers (PUFA and cyanotoxins) in biological samples using
-
analysis to better understand how molecular and cellular processes are coordinated across cells, tissues, and organ systems in human health and disease. You will be responsible for developing and applying
-
the Nordic region and municipality/industry partners on real use cases for e-health solutions conducting research in software systems, distributed systems, network technologies and advanced data analysis
-
cell culture, molecular and cellular biology techniques, flow cytometry, microscopy, protein analysis, or related laboratory methods. Experience in bioinformatics, computational biology, or the analysis
-
journals. The tasks will include laboratory tests, analysis of data, and modeling. Qualifications To be eligible, you must have a master’s degree in materials science or chemistry. You should have basic
-
spectrometry (DDA and DIA), and handling of human samples. Knowledge and experience in peptide biology and peptidomics, including analysis of complex datasets using specialized peptidomics tools. Experience in
-
analysis to better understand how molecular and cellular processes are coordinated across cells, tissues, and organ systems in human health and disease. You will be responsible for developing and applying
-
Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
-
of battery cells, as well as electrochemical testing and spectroscopic materials analysis (primarily X-ray photoelectron spectroscopy, XPS). The project is carried out in close international collaboration, and