Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Umeå University
- Linköping University
- Swedish University of Agricultural Sciences
- Karolinska Institutet (KI)
- Linnaeus University
- Lulea University of Technology
- SciLifeLab
- Jönköping University
- Mälardalen University
- Blekinge Institute of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- Sveriges lantbruksuniversitet
- The Royal Institute of Technology (KTH)
- University of Borås
- 8 more »
- « less
-
Field
-
, collect and analyze relevant data. Qualifications For this position, applicants must have a PhD in sociology or another discipline that is deemed relevant in relation to the research being conducted within
-
also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
-
the boreal region of Sweden. The study sites are part of the SLU forest long-term trial series and located in boreal Sweden. Similar data from conventional rotation-forestry sites are available for further
-
experimental and computational tools, and are currently recruiting for the following roles: Position 1: AI and data science approaches applied to genomics and spatial omics Position 2: Experimental islet and
-
participating in projects that collect and utilize agronomic data from forages and crop rotations, and (3) writing scientific publications and grant applications. Qualifications: Required: A PhD degree in a
-
the experiments and ~18 years from the long-term monitoring site. These data are complemented by past and ongoing collections of plant ecophysiology and soil biochemistry. This postdoc position will focus largely
-
of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. For more information about the total announced post-doctoral positions within
-
are assessed by the PIs of each project, respectively. For detailed information about every project, click the link. 1. Evolution of Scots pine forests since the last glacial maximum https://www.umu.se/en/ucmr
-
the polymer matrix while preserving the quality of the fibres. Information about the division and the department The position is based in the Division of Materials and Manufacture at the Department
-
processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems