Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Nature Careers
- Linköping University
- University of Lund
- Umeå University
- Lulea University of Technology
- Lunds universitet
- SciLifeLab
- The Royal Institute of Technology (KTH)
- Umeå universitet stipendiemodul
- Jönköping University
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Linnaeus University
- Luleå University of Technology
- Lund University
- Lund university
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Umeå universitet
- 10 more »
- « less
-
Field
-
is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later
-
to reach the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact
-
sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later than October 15th, 2025. For questions please contact
-
note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be
-
sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for
-
to reach the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact
-
is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. Application deadline: 10 October, 2025
-
, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
-
is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future cell programming applications. This position involves both experimental and
-
sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for