883 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Lunds universitet
- Umeå University
- Swedish University of Agricultural Sciences
- Linköping University
- SciLifeLab
- Lulea University of Technology
- Karolinska Institutet (KI)
- Nature Careers
- KTH Royal Institute of Technology
- Umeå universitet
- Uppsala universitet
- Jönköping University
- Stockholms universitet
- Umeå universitet stipendiemodul
- University of Borås
- Mälardalen University
- Örebro University
- Blekinge Institute of Technology
- Karlstad University
- Sveriges Lantbruksuniversitet
- Luleå University of Technology
- Luleå tekniska universitet
- Linnaeus University
- University of Gothenburg
- KTH
- Karolinska Institutet, doctoral positions
- Karlstads universitet
- 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
- 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
- 56 more »
- « less
-
Field
-
conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
-
is to mimic the process occuring in hygiene products on a fundamental level and to understand how surface active molecules and ions impact this process. Who we are looking forThe following requirements
-
6 Mar 2026 Job Information Organisation/Company Örebro University Research Field Computer science » Computer architecture Computer science » Other Researcher Profile First Stage Researcher (R1
-
-529974, Personnel Officer Marianne Palmér (marianne.palmer@lnu.se ), +46-(0)480-447303 Would you like to know more about the department of biology and environmental science? Learn more at Lnu.se. Welcome
-
learn more about Working in Lund , Moving to Lund and Living in Lund . Qualifications The assessment will primarily be based on your research merits and your potential as a researcher. Particular
-
difference? Join us and contribute to better health for all! Where to apply Website https://ki.varbi.com/en/what:job/jobID:913917/type:job/where:39/apply:1 Requirements Additional Information Work Location(s
-
with a strong background in machine learning and LLMs, computer science, and modeling. The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH
-
, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project We will recruit a
-
and separation processes, with strong expectations of high-impact publications and intellectual leadership. Who we are looking forThe following requirements are mandatory: Master's degree (masterexamen
-
samples in transmission. Weeks 26-27: Learn the analysis programs. Populate the SpecTable library with newly collected data sets. This is a unique opportunity to gain hands-on experience in a cutting-edge