820 coding-"https:" "https:" "https:" "https:" "https:" "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
- Linköping University
- University of Lund
- Umeå University
- Karolinska Institutet (KI)
- Lulea University of Technology
- KTH Royal Institute of Technology
- SciLifeLab
- Uppsala universitet
- Nature Careers
- Umeå universitet
- Stockholms universitet
- Umeå universitet stipendiemodul
- University of Borås
- Sveriges Lantbruksuniversitet
- Örebro University
- Blekinge Institute of Technology
- Mälardalen University
- Linnaeus University
- Luleå University of Technology
- Luleå tekniska universitet
- Karlstads universitet
- University of Gothenburg
- Jönköping University
- KTH
- Karolinska Institutet, doctoral positions
- Karlstad University
- 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
-
publications doctoral thesis Where to apply Website https://ju.varbi.com/en/what:job/jobID:877697/type:job/where:39/apply:1 Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research
-
Instructions on how to apply Applications shall be written in English and be compiled into a PDF-file containing: CV, including a list of publications, Where to apply Website https://lu.varbi.com/en/what:job
-
wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job
-
.). We welcome your application! Where to apply Website https://lu.varbi.com/en/what:job/jobID:906506/type:job/where:39/apply:1 Requirements Research FieldBiological sciencesEducation LevelMaster Degree
-
machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
-
in English or Swedish. Closing date for applications: 3 May, 2026 Reference number: 2304-2026 Where to apply Website https://web103.reachmee.com/ext/I003/583/main?site=5&validator=68a0c61034f021ba
-
to strive for continuous development. You should also be fluent in English, as you will be actively involved in international collaborations. Finally, you should have some coding experience. The employment
-
of application: April 30, 2026 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=10049&rmlang=UK
-
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 ELLIIT (https://elliit.se ) is a strategic research
-
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