Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Lunds universitet
- Umeå University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Linköping University
- KTH Royal Institute of Technology
- Uppsala universitet
- Nature Careers
- Karolinska Institutet (KI)
- Umeå universitet
- Lulea University of Technology
- Jönköping University
- University of Borås
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Blekinge Institute of Technology
- Luleå University of Technology
- Mälardalen University
- Umeå universitet stipendiemodul
- Karlstad University
- Linnaeus University
- Luleå tekniska universitet
- University of Gothenburg
- KTH
- Karolinska Institutet, doctoral positions
- Mid Sweden University
- Luleå university of technology
- Lund University
- Malmö university
- Örebro University
- Göteborgs Universitet
- Högskolan Väst
- Karlstads universitet
- Linköpings universitet
- Linnéuniversitetet
- Academic Europe
- IFM, Linköping University
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
- Linneuniversitetet
- SLU
- The Faculty of Education and Society
- Umea University
- Faculty of Culture and Society
- Faculty of Health and Society
- Faculty of culture and society
- Göteborg Universitet
- Göteborgs Universitet, Institution för kemi och molekylärbiologi
- 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 kemi och molekylärbiologi
- Institutionen för molekylära vetenskaper
- Kungliga Tekniska högskolan
- Lule university of technology
- Luleå
- Mittuniversitetet
- Sveriges Lantrbuksuniversitet
- The Faculty of Health and Society
- The Faculty of Odontology
- The Faculty of Technology and Society
- The Institute of Clinical Sciences
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- University of Gothenburg, Department of Education, Communication and Learning
- 58 more »
- « less
-
Field
-
Scientist to improve the data analysis experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data
-
. 10 PhD vacancies are available in six universities. For more information, regularly check the individual vacancy pages of the universities listed on the project website [https://heritour.eu/ ]. About
-
computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. At the Division of Systems
-
-microbe interactions, mycology, and microbial ecology. The position is placed in the Forest Microbiology group. Read more about what it is like to work at SLU at: https://www.slu.se/en/about-slu/work-at-slu
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. Description of work You will be working in the laboratory of Marta Bally (https://ballylab.com/ ), in close
-
at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
-
competitive advantage (https://liu.se/en/research/cbmi ). You will work under the supervision of Professors Christian Kowalkowski and Daniel Kindström. Research at IEI spans a broad range of areas, from
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The Cardiovascular research
-
advanced levels, mainly within the agronomy- soil & plant programme, and is also active in courses for professionals. Together with a research group from the Department of Applied Animal Science and Welfare
-
Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department