Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- University of Lund
- Lunds universitet
- SciLifeLab
- Umeå University
- Blekinge Institute of Technology
- Malmö university
- University of Borås
- Örebro University
- Högskolan Väst
- Nature Careers
- Swedish University of Agricultural Sciences
- The Faculty of Education and Society
- Umea University
- Academic Europe
- Faculty of Health and Society
- Faculty of culture and society
- Göteborg Universitet
- Göteborgs Universitet
- IFM, Linköping University
- Institutionen för kemi och molekylärbiologi
- Karlstad University
- Karolinska Institutet, doctoral positions
- Luleå University of Technology
- SLU
- SciCross
- Sveriges Lantbruksuniversitet
- The Faculty of Health and Society
- The Faculty of Odontology
- The Faculty of Technology and Society
- The Swedish University of Agricultural Sciences (SLU)
- Umeå universitet
- 23 more »
- « less
-
Field
-
The adipocyte expresses over 4000 long non-coding RNAs (lncRNA), many uniquely expressed in fat cells. However, how these polymeric molecules function in concert with the metabolic machinery of the cell is not
-
development processes. Modern software development increasingly relies on AI-based tools (e.g., large language models and autonomous agents) to generate, modify, and evaluate code. While these tools
-
from information and coding theory, machine learning, and distributed algorithms. The project is in collaboration with Linköping University, which includes opportunity for research visits. The project is
-
autonomous agents) to generate, modify, and evaluate code. While these tools significantly improve productivity, they also introduce new challenges related to: Lack of transparency in how code is generated
-
software development “Reproducible research” and “FAIR data” are central concepts to us, and expertise in the development of reproducible code by using code sharing platforms, workflow languages and
-
, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
-
structures Contribute to the development of reproducible modelling workflows (e.g. coding, data handling, documentation) Produce and interpret hazard, impact, and risk maps and indicators Contribute
-
software development “Reproducible research” and “FAIR data” are central concepts to us, and expertise in the development of reproducible code by using code sharing platforms, workflow languages and
-
and Code of Conduct promoting an inclusive, merit-based, transparent and unbiased recruitment and attractive working and employment conditions. A two-step procedure for applicants’ selection will be
-
, motivation for applying for the position, and a link to previously produced code on GitHub or equivalent. If previous code cannot be disclosed, provide a motivation. Bachelor/Master theses work/other relevant