851 structures-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Swedish University of Agricultural Sciences
- University of Lund
- Linköping University
- Umeå University
- Karolinska Institutet (KI)
- Lulea University of Technology
- SciLifeLab
- KTH Royal Institute of Technology
- Uppsala universitet
- Nature Careers
- Umeå universitet
- Stockholms universitet
- Umeå universitet stipendiemodul
- University of Borås
- Sveriges Lantbruksuniversitet
- Örebro University
- Blekinge Institute of Technology
- Jönköping University
- Karlstad University
- Mälardalen University
- Linnaeus University
- Luleå University of Technology
- Luleå tekniska universitet
- Karlstads universitet
- University of Gothenburg
- KTH
- Karolinska Institutet, doctoral positions
- Luleå university of technology
- Lund University
- 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
- Institutionen för akvatiska resurser
- Institutionen för växtskyddsbiologi
- 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
- 57 more »
- « less
-
Field
-
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
-
Uppsala. Read more about the department: Department of Forest Bioeconomy and Technology | slu.se Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work
-
interact with owners, students and colleagues. You also need to meet the requirements for approval as a resident according to EVCS guidelines (see information brochure on the ECVS website, https
-
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
-
to the structure and development of stars and the universe. This full spectrum is also reflected in the department’s courses and study programmes. Each year, approximately 2,500 students take undergraduate- and
-
dynamical structure directly from time-series data. This includes methodological work on nonlinear state-space reconstruction, system identification, reservoir computing and related recurrent architectures
-
community and ecosystem ecology to work on the long term globally distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396). The employment is fulltime
-
at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by
-
. Doctoral studies end with a thesis and a doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description
-
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