899 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" "U.S" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Lunds universitet
- University of Lund
- Linköping University
- Umeå University
- Swedish University of Agricultural Sciences
- SciLifeLab
- Karolinska Institutet (KI)
- Nature Careers
- KTH Royal Institute of Technology
- Lulea University of Technology
- Uppsala universitet
- Umeå universitet
- Sveriges Lantbruksuniversitet
- Umeå universitet stipendiemodul
- Jönköping University
- Stockholms universitet
- University of Borås
- Mälardalen University
- Blekinge Institute of Technology
- Karlstad University
- Luleå University of Technology
- Linnaeus University
- Luleå tekniska universitet
- University of Gothenburg
- KTH
- Örebro University
- Karolinska Institutet, doctoral positions
- Lund University
- Linköpings universitet
- Luleå university of technology
- Malmö university
- Mid Sweden University
- Göteborgs Universitet
- Högskolan Väst
- Karlstads universitet
- Linneuniversitetet
- Academic Europe
- IFM, Linköping University
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
- Linnéuniversitetet
- SLU
- Stockholm University
- The Faculty of Education and Society
- Umea University
- 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 akvatiska resurser
- Institutionen för kemi och molekylärbiologi
- Kungliga Tekniska högskolan
- 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
- 57 more »
- « less
-
Field
-
evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
-
statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
-
foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. Where to apply Website https
-
well as in urban areas. See also: https://www.slu.se/en/about-slu/organisation/departments/ecology/ About the position The researcher will work in the field (in southern Sweden), with statistical analyses, and
-
multi-modal perception and machine learning. Current noninvasive agricultural monitoring systems rely primarily on passive sensing, which limits sensitivity to early-stage plant stress. This project
-
measurements with fluorescence microscopy. It is considered a merit if you have experience in AI-based or machine-learning-based cell and image analysis. It is considered a merit if you have advanced knowledge
-
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
-
wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.) We welcome your application. Where to apply Website https://lu.varbi.com/en/what:job
-
deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an interest in their application to embodied systems. What
-
technology, driven by high-quality research and education, openness and collaboration. As a Teaching Fellow, you will contribute to this goal through engaging teaching and learning in a collegial and inclusive