Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- SciLifeLab
- Linköping University
- Umeå University
- Uppsala universitet
- Swedish University of Agricultural Sciences
- University of Lund
- Chalmers University of Technology
- Lunds universitet
- Sveriges Lantbruksuniversitet
- Karolinska Institutet, doctoral positions
- Linköpings universitet
- Lulea University of Technology
- Mid Sweden University
- Stockholms universitet
- 4 more »
- « less
-
Field
-
or plant phenotyping, or image analysis. Experience with isotope tracing, physiological measurements, or nutrient analysis. Skills in statistical modelling (e.g. R), multivariate analysis, or trait-based
-
algorithms for Bayesian machine learning with applications in e.g., medical image analysis. The doctoral student position is offered within the machine learning project “The Challenges for Machine Learning in
-
imaging, mathematical modelling, and functional genomics, receiving experimentally testable predictions generated by state-of-the-art predictive models. These predictions will be rigorously validated using
-
. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential
-
terrestrial laser scanning data (ALS, TLS), satellite and aerial images. Collecting field data as well as participating in burning experiments may also be part of the work. The research team includes expertise
-
conventional harvesting. The research will involve practical DNA sampling, high-throughput genotyping, and data fusion using machine-generated harvest data, annotated images, and environmental information