843 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Umeå University
- Swedish University of Agricultural Sciences
- University of Lund
- Linköping University
- Uppsala universitet
- Karolinska Institutet (KI)
- SciLifeLab
- KTH Royal Institute of Technology
- Nature Careers
- Umeå universitet
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- Umeå universitet stipendiemodul
- Jönköping University
- Stockholms universitet
- University of Borås
- Örebro University
- Mälardalen University
- University of Gothenburg
- Karlstad University
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Luleå University of Technology
- Karlstads universitet
- Blekinge Institute of Technology
- KTH
- Luleå tekniska universitet
- Luleå university of technology
- Högskolan Väst
- Linköpings universitet
- Linneuniversitetet
- Academic Europe
- Göteborg Universitet
- Göteborgs Universitet
- IFM, Linköping University
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
- SLU
- Sahlgrenska Academy, University of Gothenburg
- Stockholm University
- Umea University
- Department of Forest Genetics and Plant Physiology
- EFSA - European Food Safety Authority
- European Magnetism Association EMA
- Faculty of Culture and Society
- Faculty of culture and society
- 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
- Linnéuniversitetet
- Lule university of technology
- Luleå
- Luleå tekniska universitet/Luleå University of Technology
- Lund University
- School of Business and Economics, Linnaeus University
- Swedish University of Agricultural Science
- The Institute of Clinical Sciences
- The Swedish University of Agricultural Sciences (SLU)
- The University of Gothenburg
- Umeå Plant Science Center
- University of Gothenburg, Department of Education, Communication and Learning
- University of Skövde
- 58 more »
- « less
-
Field
-
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
-
and supportive Laboratory of Organic Electronics (https://www.liu.se/loe ). LOE currently has >150 researchers and research students across thirteen group sharing an open lab environment for fruitful
-
authority. Learn more about our benefits and what it's like to work and grow at KTH. Trade union representatives Contact information to trade union representatives. To apply for the position Log into KTH's
-
university and public authority. Learn more about our benefits and what it's like to work and grow at KTH. Trade union representatives Contact information to trade union representatives. To apply
-
, pathology, policy and planning. We teach bachelor, Masters and PhD level courses addressing all of these subject areas. For more information about the department or division visit: Southern Swedish Forest
-
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
-
covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full
-
found here https://www.maxiv.lu.se/beamlines- accelerators/support-labs/microscopy-labs/ . This is a temporary position from March until October 2026. Qualifications for a successful candidate are: Hold
-
(https://ki.se/en/mbb/research-division-of-medical-systems-bioengineering ) at the department of Medical Biochemistry and Biophysics. In our group we are interested in shedding light on central molecular
-
modeling, machine learning, and AI techniques applied to biomedical data is a plus. Clinical Proteomics: Experience with clinical trial data, real-world evidence (RWE), and biomarker-driven trial designs is