Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Linköping University
- Umeå University
- Umeå universitet
- Chalmers University of Technology
- Linköpings universitet
- Nature Careers
- SciLifeLab
- Luleå University of Technology
- Lunds universitet
- Stockholm University
- Stockholms universitet
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- 4 more »
- « less
-
Field
-
system modelling. Solid knowledge in mathematics, physics, thermodynamics, energy technology, optimization, and programming for system modelling, with experience in tools such as Matlab, or Python
-
thermodynamics, energy technology, or systems modelling. Solid knowledge in mathematics, physics, thermodynamics, energy technology, optimization, and programming for system modelling, with experience in tools
-
5 Sep 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Technology Researcher Profile
-
departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at Master’s level in Computer Science, Materials Science, Physics, Mathematics, or a related disciplines
-
We invite applications for a four-year PhD position in the field of Organic Electronics, with a focus on the development of a novel light-emission technology, termed the light-emitting
-
, SciLifeLab is located on Campus Solna, where research groups from Stockholm University, the Royal Institute of Technology, and the Karolinska Institute conduct internationally outstanding research in the life
-
, data science, mathematical statistics, applied mathematics or in a similar field, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
-
complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including interdisciplinary communication and collaboration. You will also be offered
-
belongs to the Department of Engineering Sciences and Mathematics. It is an institution with many successful teams and recognized educational programs. We work closely with companies/industries in both
-
environmental and life sciences challenges. Courses will cover topics such as complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including