Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Linköping University
- Lunds universitet
- Chalmers University of Technology
- SciLifeLab
- Sveriges lantbruksuniversitet
- Uppsala universitet
- Lulea University of Technology
- Mälardalen University
- Swedish University of Agricultural Sciences
- University of Lund
- 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
-
. 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
-
work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery
-
will be responsible for the CPS intelligence, IoT, and SoS automation architecture and the use of AI and Machine Learning (ML). Targeted results include academic papers and contributions with open-source
-
Engineering (UML, SysML, metamodels) usage to model the major data modeling languages. The projects aim to further digitalize the European industry, where EISLAB will be responsible for the CPS intelligence