Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Linköping University
- Chalmers University of Technology
- Lulea University of Technology
- Luleå University of Technology
- Lunds universitet
- Swedish University of Agricultural Sciences
- Umeå University
- Chalmers tekniska högskola
- Linkopings universitet
- Luleå University of Tehnology
- Luleå tekniska universitet
- RISE, Research Institutes of Sweden AB
- SciLifeLab
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Umeå universitet
- University of Gothenburg
- University of Lund
- 9 more »
- « less
-
Field
-
, transforms, optimization). Programming and simulation experience (for example MATLAB, Python). Strong written and oral communication skills in English. Ability to work independently and in teams. Curious
-
for efficient last-mile deliveries with a focus on climate and flexibility. Using advanced modeling and data analysis, you’ll create solutions that make final deliveries smarter and more sustainable. Your work
-
University employee: Work at Lund University Work assignments As a doctoral student, you will be part of the project "Identification of surface antigens for the treatment of brain tumors". The tasks include
-
and detection, coding theory, and optimization. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or
-
pension scheme. Read more on the University website about being a Lund University employee: Work at Lund University Work assignments As a doctoral student, you will be part of the project "Identification
-
about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Name of research project/thesis Rewetting versus Continuous Cover Forestry: Alternative strategies
-
understanding of tree genetics in operational forestry and demonstrate new ways to optimize tree breeding and forest management. Qualifications: The successful candidate should have an MSc in the field
-
, our research in mineral processing consists of three pillars: material characterization (mineralogical and particle analyses), unit operations (such as comminution and separation processes) as
-
. The outcome will advance understanding of tree genetics in operational forestry and demonstrate new ways to optimize tree breeding and forest management. Qualifications: The successful candidate should have an
-
consists of three pillars: material characterization (mineralogical and particle analyses), unit operations (such as comminution and separation processes) as well as system engineering approaches (modeling