Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- KTH Royal Institute of Technology
- Umeå University
- Chalmers University of Technology
- Linköping University
- SciLifeLab
- Lunds universitet
- Swedish University of Agricultural Sciences
- Nature Careers
- Sveriges lantbruksuniversitet
- Karolinska Institutet (KI)
- Lulea University of Technology
- Stockholms universitet
- Örebro University
- Linnaeus University
- University of Gothenburg
- Blekinge Institute of Technology
- Jönköping University
- Karlstad University
- Mälardalen University
- Uppsala universitet
- Luleå University of Technology
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Borås
- Karlstads universitet
- ;
- KTH
- Lund University
- Lund university
- Malmö universitet
- Stockholm University
- 22 more »
- « less
-
Field
-
skills in English Demonstrated experience in at least one field relevant for the project, i.e. recalcitrant plant biomass conversion, which could be: microbiology, protein production and purification
-
dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You
-
Researcher (R2) Country Sweden Application Deadline 15 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
- 12:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
-
collaboration with the surrounding society. As a professor in medical education, you teach at an advanced level in Swedish and English and supervise doctoral students in field of medical education. The work
-
language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages digital twin environments and validation frameworks to ensure reliable, secure, and
-
plan. This includes planning and carrying out research in collaboration with supervisors and colleagues, as well as publishing results in peer-reviewed scientific journals. The doctoral education also
-
to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven
-
Do you want to contribute to top quality medical research? Karolinska Institutet (KI) is recruiting researchers as part of the SciLifeLab Fellows program. The successful candidates will join KI and
-
Do you want to contribute to top quality medical research? Karolinska Institutet (KI) is recruiting researchers as part of the Data-Driven Life Sciences (DDLS) Fellows program. The successful