Sort by
Refine Your Search
-
Listed
-
Employer
- Linköping University
- SciLifeLab
- Umeå University
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Blekinge Institute of Technology
- Chalmers University of Technology
- Jönköping University
- Karolinska Institutet, doctoral positions
- Linköpings universitet
- Sveriges Lantbruksuniversitet
- 1 more »
- « less
-
Field
-
://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models of polyploid genome evolution across contrasting timescales. The student
-
. You would be welcomed in the the Yant Lab (https://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models
-
well as the efficacy of the live rotavirus vaccines. In this project we will combine evolutionary analyses, historical data, and functional organoid studies in a multidisciplinary approach. By performing analysis
-
training in: genome biology and evolutionary genomics population genetics and conservation genomics computational analysis of large datasets The work will primarily be computational in nature, requiring
-
position This PhD project will focus on forest tree evolution, adaptation, and genetic diversity in forests of Sweden and beyond. You will gain training in: genome biology and evolutionary genomics
-
and nutrient acquisition. The project will also explore whether the magnitude and structure of fungal plasticity vary across AM fungal lineages, addressing fundamental questions about the evolutionary
-
: “The code that shapes the body: AI and digital phenotyping to decode evolutionary morphology in domesticated animals.” The project aims to uncover how genetic variation shapes body form and function by
-
the body: AI and digital phenotyping to decode evolutionary morphology in domesticated animals.” The project aims to uncover how genetic variation shapes body form and function by developing a data-driven
-
explainable AI for large-scale and complex datasets by developing algorithms, pipelines, and tools suitable for critical decision-making contexts. The doctoral student will be based at the Health Technology
-
Cybersecurity Awareness in Production (CyProd). Computer science is the study of computers and algorithms, including their principles, hardware and software design, their applications, and their impact on