895 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Babes Bolyai University" 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
- Karolinska Institutet (KI)
- Nature Careers
- KTH Royal Institute of Technology
- Umeå universitet
- Uppsala universitet
- Jönköping University
- Stockholms universitet
- Umeå universitet stipendiemodul
- University of Borås
- Karlstad University
- Mälardalen University
- Örebro University
- Blekinge Institute of Technology
- 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
- 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
- 55 more »
- « less
-
Field
-
for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103.reachmee.com/ext/I017/1114/main?site=7
-
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
-
inclusive work environment with excellent opportunities for professional development. About the position Type of employment: Fixed-term employment according to the postdoctoral agreement. Scope: 100% (80
-
with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the
-
system developer for our national DDLS data services, with a profile towards data engineering, systems development, and data management. In this role, you are expected to develop software, systems, and
-
of the European Partnership on Animal Health and Welfare (EUPHAW) and focuses on the development of methods to quantify and analyze behavior and welfare in dairy cattle using large-scale video and
-
, Robust and Secure AI-Supported Development, and Resilient Distributed and Agentic AI. RESIST will drive world-class research in the intersection between AI and cybersecurity through a strong, stimulating
-
) provides research and education, the Swedish Institute of Space Physics (IRF) focuses on space plasma research and instrument development, and EISCAT Scientific Association carries out radar observations
-
findings at national and international conferences. This position offers the opportunity to work in an intellectually stimulating environment, and to contribute to the development of better cancer treatment
-
This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification