174 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" PhD positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Umeå University
- Linköping University
- Lulea University of Technology
- Uppsala universitet
- Lunds universitet
- University of Lund
- Stockholms universitet
- Chalmers University of Technology
- Sveriges Lantbruksuniversitet
- Karolinska Institutet, doctoral positions
- Umeå universitet
- Linköpings universitet
- Luleå tekniska universitet
- Luleå university of technology
- SciLifeLab
- University of Borås
- Karlstads universitet
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- Institutionen för akvatiska resurser
- Jönköping University
- KTH Royal Institute of Technology
- Karlstad University
- LInköpings universitet
- Lule university of technology
- Luleå
- Stockholm University
- 19 more »
- « less
-
Field
-
more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
-
June 2026, UFV-PA 2026/581 Where to apply Website https://uu.varbi.com/en/what:job/jobID:908266/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent
-
competitive advantage (https://liu.se/en/research/cbmi ). You will work under the supervision of Professors Christian Kowalkowski and Daniel Kindström. Research at IEI spans a broad range of areas, from
-
/tensions between the global North and global South. We will also consider applicants focused primarily on Swedish/Nordic cases or topics. For full information of the five REMESO research streams see: https
-
of April 2026, UFV-PA 2026/751 Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden. Where to apply Website https://uu.varbi.com
-
today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
-
to machine learning is well funded and continuously publishes in high impact journals. We foster a creative working environment, where you will find freedom to implement, develop, and publish research
-
value chains to enable AI-based applications, using methods and models from e.g. operations research, data analytics or artificial intelligence/machine learning. Identify, structure and prioritise
-
) , was created. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest
-
Sweden’s national environmental objectives. Read more about the department: https://www.slu.se/ekologi Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work