Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Umeå University
- University of Lund
- SciLifeLab
- Karolinska Institutet (KI)
- Lunds universitet
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Mälardalen University
- Linköping University
- Luleå tekniska universitet
- The Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- Uppsala universitet
- Blekinge Institute of Technology
- Luleå University of Technology
- Uppsala University
- Institutionen för biologi och miljövetenskap
- Jönköping University
- Karlstad University
- Linköping University (LiU)
- Sveriges Lantbruksuniversitet
- Umeå universitet
- University of Borås
- University of Skövde
- universitypositions
- 17 more »
- « less
-
Field
-
; the regulation of gene expression; population genetics, genome analysis and the development of breeding systems. Species in use are model organisms such as Arabidopsis thaliana, Physcomitrella, tobacco and yeast
-
; Collect, manage, analyse, and interpret data using transparent and reproducible workflows; Conduct evidence synthesis, meta-analysis, comparative analyses, or environmental modelling; Comply with relevant
-
analysis tools. Data-driven Life Science Fellows program We are seeking a postdoctoral researcher to pursue curiosity-driven cell and molecular biology research in a team that uses AI and automation as
-
of these interactions into soil and ecosystem models. Depending on the selected candidate, the research project can focus on statistical analysis of literature data, process-based modelling, or a combination of the two
-
studies using qualitative, quantitative, and mixed-methods approaches, including surveys, interviews, observations, social network analysis, and analysis of digital trace data. Collaborating with industry
-
chains, especially how different actors get involved in different venues and how focused issues change. You should develop theoretical frameworks, be responsible for data collection and analysis, and in
-
research profile focuses on development of novel statistical methods and software for the analysis of large and complex data sets. Applications include e.g., evaluation of large-scale achievement tests, and
-
involved in different venues and how focused issues change. You should develop theoretical frameworks, be responsible for data collection and analysis, and in collaboration with co-authors contribute
-
, cargo-bikes, and attitudes toward emerging technologies such as shared autonomous vehicles. This project addresses that gap through a mixed-method study combining survey data with in-depth interviews
-
, incident response, or post-incident analysis; have experience in human-computer interaction, human-centered AI, explainable AI, or user-centered design; have experience designing, conducting, and analysing