Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Umeå University
- Swedish University of Agricultural Sciences
- Linköping University
- Linnaeus University
- Jönköping University
- Lulea University of Technology
- Mälardalen University
- SciLifeLab
- KTH Royal Institute of Technology
- 2 more »
- « less
-
Field
-
of advanced Neutron and X-ray Science. AMBER is funded by the EU Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call 2025, with each fellowship lasting 36 months
-
assessment, both nationally and internationally, fostering a broad network of expertise and innovation. This position offers a unique opportunity to join a vibrant community at the forefront of research in
-
Skłodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call 2025, with each fellowship lasting 36 months. AMBER has six core partners: Lund University/MAX IV, Sweden
-
Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call 2025, with each fellowship lasting 36 months. AMBER has six core partners: Lund University/MAX IV
-
X-ray Science. AMBER is funded by the EU Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call 2025, with each fellowship lasting 36 months. AMBER has
-
This postdoc position is a full-time temporary employment for two years. Application Procedure Please submit your application in English as PDF files according to the instructions below. Each file should not
-
modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks
-
relevant duties/assignments within the subject area. Other merits The scientific work is conducted within the research group as well as in association with a larger collaborative scientific network, and good
-
? With data-driven methods, new opportunities arise to understand ecosystems as complex, dynamic networks. This project aims to analyse the world’s most extensive eDNA database, consisting of weekly
-
medicine and provides a strong platform for early-career scientists through its ties to EMBL and a broad Nordic network. For more information, please visit: https://www.umu.se/en/mims /, https://www.umu.se