Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Linköping University
- SciLifeLab
- University of Lund
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Lulea University of Technology
- Lunds universitet
- Luleå University of Technology
- Luleå tekniska universitet
- Blekinge Institute of Technology
- Jönköping University
- Karolinska Institutet, doctoral positions
- Mälardalen University
- Stockholms universitet
- The Swedish University of Agricultural Sciences
- Umeå universitet
- Chalmers University of Technology
- Göteborgs universitet
- Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg
- Institutionen för Biologi och miljövetenskap
- Institutionen för mark och miljö
- KTH Royal Institute of Technology
- Linnaeus University
- Stockholm University
- Sveriges Lantbruksuniversitet
- The Swedish University of Agricultural Sciences (SLU)
- 17 more »
- « less
-
Field
-
to communicate effectively in oral and written English. The applicant is expected to have a lab-based PhD in the biological sciences, though applicants with a masters degree and at least two years of full-time lab
-
or fisheries management, especially developing and delivering advice, will also be beneficial. The position requires a PhD in quantitative analysis of biological systems (e.g. statistics, mathematics, modelling
-
industrial partners, i.e., Hitachi Energy and Energiforsk, the system operators Svenska kraftnät, Volvo Energy. Qualifications Requirements A doctoral degree or an equivalent foreign degree PhD degree in
-
the life course. Requirements A completed PhD in economic history, and Demonstrated teaching expertise. Merits / Desirable qualifications Publications in journals or with book publishers that use
-
completion of their PhD defense. How to apply You submit your application via the University’s recruitment portal. Since proficiency in Swedish is a requirement, the application is to be written in Swedish
-
qualifications: The successful candidate must: Hold a PhD in History or Economic History. Have experience of working with both quantitative and qualitative research methods. Have published research relevant