Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Linköping University
- Lunds universitet
- Chalmers University of Technology
- SciLifeLab
- Sveriges lantbruksuniversitet
- University of Lund
- Uppsala universitet
- Lulea University of Technology
- Mälardalen University
- Swedish University of Agricultural Sciences
- Jönköping University
- Nature Careers
- Stockholm University
- University of Gothenburg
- Institutionen för biomedicinsk vetenskap
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linköpings universitet
- Linnaeus University
- Luleå University of Technology
- Malmö universitet
- Mälardalens universitet
- School of Business, Society and Engineering
- Stockholms universitet
- Umeå universitet
- 16 more »
- « less
-
Field
-
animal behaviour, statistics, and computer-based data analysis. documented research experience with farm animals is an advantage. strong communication skills in English (spoken and written). As a person
-
cytometry, FACS, and qPCR for quantifying infection; as well as statistical analysis. You are also likely to use CRISPR/Cas9 technology, CLIP assay, co-immunoprecipitation, and other biochemical methods
-
at least 30 credits must be at the advanced (master's) level. Courses in statistical analysis, quantitative methods, or mathematical modelling obtained outside these subject areas may also be included
-
. The research group led by Martin Enge is specialized in methodology-driven analysis of patient data, especially in the field of single-cell multiomics. We are a multidisciplinary group with expertise in both dry
-
qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
-
to the research project at hand, having very good skills in discourse analysis, as well as an orientation in digital politics, are key requirements. Since the research will be conducted in an international and
-
on the following criteria: Knowledge in electric power engineering, power electronics, and power system analysis Experience in modelling, simulation, and experimental work Proficiency in Swedish and English, both
-
emphasis on Image Analysis and/or Geomechanics Fluency in spoken and written English Willingness to learn Swedish, as necessary for providing teaching support at undergraduate level Genuine interest in
-
experience in statistical analysis are also advantageous. The applicant should be able to work both independently and as part of a team. Proficiency in both spoken and written English is required. The ability
-
mechanical analysis, nanonindentation and atomic force mircroscopy will be used to characterize the mechanical properties of (doped) conjugated polymers. You will work closely with fellow PhD students and