Sort by
Refine Your Search
-
Listed
-
Employer
- University of Lund
- Chalmers University of Technology
- Nature Careers
- Umeå University
- Linköping University
- Swedish University of Agricultural Sciences
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Lulea University of Technology
- SciLifeLab
- Jönköping University
- Linnaeus University
- Lunds universitet
- Umeå universitet stipendiemodul
- Luleå University of Technology
- Mälardalen University
- Sveriges lantbruksuniversitet
- The Royal Institute of Technology (KTH)
- Blekinge Institute of Technology
- Lund university
- Umeå universitet
- University of Borås
- University of Gothenburg
- Uppsala universitet
- 14 more »
- « less
-
Field
-
deals with international trade in forest-based products, focusing on the trade between Sweden and Norway and other regions. The post-doctor will develop an analytical framework able to account for bi
-
international environment consisting of PhD students, postdocs and teachers coming from all corners of the world. Research and teaching are conducted in an open and progressive atmosphere with challenges and
-
Qualifications for Project D To qualify for the fellowship, the candidate should have a PhD degree, or a foreign degree that is deemed equivalent in computer science or biology. The ideal candidate has either a
-
build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics) at the Department of Computer Science, Electrical and Space
-
around 15 are PhD students. The work environment is open and welcoming, striving to provide each employee with the opportunity to develop personally and professionally. The field of solid mechanics relates
-
to integrate existing and new datasets into publishable manuscripts. Your profile The successful candidate must have: - a PhD in a discipline such as Environmental Sciences, Ecology, Forestry, or any other area
-
profile Candidates should hold a PhD in a natural sciences discipline, such as biology, ecology, plant pathology, microbial ecology, agronomy or a similar subject. Candidates are expected to have an
-
the Swedish Knowledge Foundation. In this position, you will belong to a research group with six senior researchers and several PhD students. The research focuses on managing data and information essential
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
-
aims to address scientific and sectoral gaps in biological imaging from molecular, cellular, and tissue levels to organ and organism levels of organisation. The programme is coordinated by LINXS, Lund