Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- Lulea University of Technology
- Luleå tekniska universitet
- Swedish University of Agricultural Sciences
- Umeå universitet
- Umeå universitet stipendiemodul
- Blekinge Institute of Technology
- KTH
- KTH Royal Institute of Technology
- Göteborgs universitet, Department of Marine Sciences
- Institutionen för växtskyddsbiologi
- Karlstad University
- Luleå University of Technology
- Nature Careers
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Umeå University
- Uppsala universitet
- 10 more »
- « less
-
Field
-
public authorities. The work is closely linked to research in bridge monitoring, condition assessment, and data-driven infrastructure management. Data from case studies (inspections, monitoring, and
-
, and advanced computational modelling, the research will identify personalized metabolic response patterns and their links to disease risk. The ultimate goal is to develop data-driven strategies
-
the group with a postdoctoral position. The research focus for this position should be linked to the learning materiual developed by the lab, but the precise area in focus may depend on the applicants skills
-
). Link to log in and apply https://kth.varbi.com/se/what:job/jobID:880654/ About the employment The position offered is for, at the most, two years. A position as a postdoctoral fellow is a time-limited
-
of grades, information for references, letters of recommendation, etc.). Where to apply Website https://lu.varbi.com/en/what:job/jobID:908809/type:job/where:39/apply:1 Requirements Research FieldMedical
-
services are linked. Project description As a postdoctoral researcher, you will contribute to research on digitalisation as a strategic driver of sustainable product innovation in the manufacturing industry
-
internationally visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Data Science and AI , we develop data-driven
-
Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the
-
FieldEngineeringYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s
-
sectors. The group collaborates with several national and international research groups on these topics, and has active links with the private and public sectors. For more information see: https