194 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" PhD positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Swedish University of Agricultural Sciences
- Umeå University
- Uppsala universitet
- Lulea University of Technology
- Lunds universitet
- University of Lund
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Chalmers University of Technology
- Mid Sweden University
- SciLifeLab
- Umeå universitet
- Karolinska Institutet, doctoral positions
- Linköpings universitet
- Luleå tekniska universitet
- Luleå university of technology
- University of Borås
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- Institutionen för molekylära vetenskaper
- Jönköping University
- KTH Royal Institute of Technology
- Karlstad University
- Karlstads universitet
- Lule university of technology
- Luleå
- Mittuniversitetet
- Stockholm University
- 20 more »
- « less
-
Field
-
practices. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ WIFORCE Research School Do you want to contribute to the future sustainable use
-
) and Machine Learning/NLP (Natural Language Processing) to capture both the network embeddedness and the qualitative B2B relationship features of supply chains. The project identifies key bottlenecks
-
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
-
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
-
methods, including GIS and spatial analysis. Applicants are invited to visit our departmental website to review the kinds of research we do in the department (https://www.uu.se/en/department/human-geography
-
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
-
experiments. For more information about our group and current projects, please visit https://qtech.fysik.su.se/ . This project is funded within the QuantERA II Programme that has received funding from the EU
-
. Previous experience with machine learning applications in molecular modelling, including experience with at least three of the following Python libraries: TensorFlow, PyTorch, JAX, RDKit. Previous
-
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