896 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "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
- Lulea University of Technology
- Nature Careers
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Uppsala universitet
- Umeå universitet
- Jönköping University
- Stockholms universitet
- Umeå universitet stipendiemodul
- University of Borås
- Mälardalen University
- Sveriges Lantbruksuniversitet
- Blekinge Institute of Technology
- Karlstad University
- Linnaeus University
- Luleå University of Technology
- Luleå tekniska universitet
- University of Gothenburg
- KTH
- Örebro University
- Karolinska Institutet, doctoral positions
- Lund University
- Luleå university of technology
- Malmö university
- Mid Sweden University
- Göteborgs Universitet
- Karlstads 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
- Faculty of Culture and Society
- Faculty of Health and Society
- Faculty of culture and society
- Göteborg Universitet
- Göteborgs Universitet, Institution för kemi och molekylärbiologi
- Göteborgs universitet, Department of Marine Sciences
- Higher Education Institute
- IFM/Linköping University
- Institute of Medicine, Sahlgrenska Academy, University of Gothenburg
- Institutionen för kemi och molekylärbiologi
- Kungliga Tekniska högskolan
- LInköpings universitet
- Lule university of technology
- Luleå
- Mittuniversitetet
- 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
- 58 more »
- « less
-
Field
-
: October 2026 Full call details, eligibility criteria, application templates, and a matchmaking platform for identifying potential supervisors are available at: https://www.scilifelab.se/data-driven/ddls
-
ways to transform towards them. Finally, we will synthesize our learning across cases to enhance causal multispecies understanding of biodiversity. The postdoctor will work with the Swedish team but is
-
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
-
knowledge. The required training for teachers in higher education may be completed during the first two years of employment if there are exceptional grounds. documented ability to teach in Swedish or English
-
Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
-
. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month (valid from May 25
-
are self-driven, eager to learn, and possess good analytical problem-solving skills Programming skills in Python or Matlab. You are expected to be somewhat accustomed to teaching, and to demonstrate
-
the beginning and there is still much to be learned! You will lead a project that centers on how tactile end organs assemble, function, and recover after injury. You will be using non-standard animal models
-
-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
-
the world. More information about the Department can be found here: http://www.pcr.uu.se . We are seeking an internationally recognized scholar who is interested to contribute to further developing