910 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Lunds universitet
- Swedish University of Agricultural Sciences
- Umeå University
- Linköping University
- SciLifeLab
- Karolinska Institutet (KI)
- Lulea University of Technology
- KTH Royal Institute of Technology
- Nature Careers
- Uppsala universitet
- Umeå universitet
- Stockholms universitet
- Jönköping University
- Umeå universitet stipendiemodul
- University of Borås
- Sveriges Lantbruksuniversitet
- Karlstad University
- Örebro University
- Blekinge Institute of Technology
- Mälardalen University
- Linnaeus University
- Luleå University of Technology
- Luleå tekniska universitet
- Karlstads universitet
- University of Gothenburg
- KTH
- Karolinska Institutet, doctoral positions
- Lund University
- Luleå university of technology
- Malmö university
- Göteborgs Universitet
- Linköpings universitet
- Linneuniversitetet
- Academic Europe
- Högskolan Väst
- IFM, Linköping University
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
- Linnéuniversitetet
- SLU
- Stockholm University
- The Faculty of Education and Society
- Umea University
- Department of Forest Genetics and Plant Physiology
- European Magnetism Association EMA
- Faculty of Culture and Society
- Faculty of Health and Society
- Faculty of culture and society
- Göteborg Universitet
- Göteborgs universitet, Department of Marine Sciences
- Higher Education Institute
- IFM/Linköping University
- Institute of Medicine, Sahlgrenska Academy, University of Gothenburg
- Institutionen för akvatiska resurser
- Institutionen för växtskyddsbiologi
- Kungliga Tekniska högskolan
- LInköpings universitet
- Lule university of technology
- Luleå
- Sveriges Lantrbuksuniversitet
- The Faculty of Health and Society
- The Faculty of Odontology
- The Faculty of Technology and Society
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- University of Gothenburg, Department of Education, Communication and Learning
- University of Skövde
- 58 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
-
on the long term globally distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396 ). The employment is fulltime for three years. The deadline
-
distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396). The employment is fulltime for three years. The deadline for applications is March 26, 2026 and the
-
promote sustainable agriculture. More about the Department: https://www.slu.se/en/departments/ecology/ More about working work at SLU: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala, Sweden
-
? Then join us and take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se https
-
to work in a challenging and supporting environment? Then join us and take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund
-
supporting environment? Then join us and take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university
-
information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se https://www.maxiv.lu.se/about-us/careers/compensation-benefits/
-
working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn
-
addition to conventional software, the scope includes engineering of AI enabled systems (primarily ML and LLM), and thus MLOps (Machine Learning Operations), datacentric AI, and legal and ethical aspects of AI