Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Karolinska Institutet (KI)
- Nature Careers
- Linköping University
- Lulea University of Technology
- Luleå tekniska universitet
- Lunds universitet
- Mälardalen University
- SciLifeLab
- University of Lund
- Högskolan Väst
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Swedish University of Agricultural Sciences
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- Umeå universitet stipendiemodul
- Örebro University
- 8 more »
- « less
-
Field
-
microscopy datasets now capture millions of single-cell images across diverse perturbations, but differences in imaging protocols, marker panels, and cell types limit their integration and reuse. A key
-
Familiarity with R, STATA, IBM SPSS Statistics, or Python What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading
-
to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
-
data and IT infrastructure. Combination of different algorithms to test multimodal predictive modelling. Compilation and presentation of data orally at seminars and conferences, as well as independent
-
the electromagnetic spectrum and studying problems at different scales, from molecular processes in clouds to global environmental change. Our research environment is unique in Sweden, combining expertise in
-
doctoral degree at an earlier date may also be considered if there are special grounds, for example, different types of statutory leave of absence. The research tasks require a solid mathematical background
-
the electromagnetic spectrum and studying problems at different scales, from molecular processes in clouds to global environmental change. Our research environment is unique in Sweden, combining expertise in
-
modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
-
modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
-
-seq, ATAC-seq, spatial transcriptomics, or related approaches strong programming skills in R and/or Python experience with reproducible data analysis, workflow development, and code-based project