Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Linköping University
- Umeå University
- Uppsala universitet
- SciLifeLab
- University of Lund
- Lunds universitet
- Lulea University of Technology
- Stockholms universitet
- Mid Sweden University
- Sveriges Lantbruksuniversitet
- Luleå tekniska universitet
- Umeå universitet
- Chalmers University of Technology
- Jönköping University
- Karolinska Institutet, doctoral positions
- Nature Careers
- University of Borås
- Karlstad University
- Linköpings universitet
- Mälardalen University
- Blekinge Institute of Technology
- Institutionen för molekylära vetenskaper
- KTH Royal Institute of Technology
- Luleå University of Technology
- Luleå university of technology
- Mittuniversitetet
- 17 more »
- « less
-
Field
-
are structured in your way of working. Personal qualities That you can independently plan and carry out research in the field of the position and that you are responsible and open to learning new things
-
) Application Deadline 19 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
-
should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
-
Sweden Type of Contract Temporary 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 Research
-
://liu.se/en/research/remeso The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available
-
: Development and design of numerical simulation software Knowledge of programming languages, e.g., Fortran, C/C++, Julia, or Python Numerical methods for partial differential equations (PDEs) It is desirable
-
statistical machine learning models and methods, Bayesian learning, or an area related to those mentioned in Work Assignments is also strongly advantageous. Solid programming skills in Python. Experience with
-
Researcher (R1) Application Deadline 30 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
writing of scientific papers. The research project is about how insects (beetles and parasitic wasps) and fungi are affected by forest management, specifically on effects of dead wood additions caused by
-
or related domains, will be seen as a strong advantage for applicants. Proficiency in programming (C/C++, OpenGL, R) and experience in data mining or machine learning will be considered advantageous, wherein