Postdoc: Plant Evolutionary Genomics & Pangenomics

Sveriges Lantbruksuniversitet (SLU)

Uppsala kommun

On-site

SEK 468,720 - 602,640

Full time

14 days+
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Job summary

Sveriges Lantbruksuniversitet (SLU) in Uppsala invites applications for a postdoctoral position in plant evolutionary genomics and pangenomics. The project focuses on developing a Swedish-focused ash pangenome by integrating long-read assemblies with population-scale sequencing to study disease resistance and adaptation across Europe.

The candidate should have a PhD in a relevant field and strong skills in population genomics, graph-based pangenomics, SV analysis, and Python programming, with a

Qualifications

  • PhD in relevant field with strong publication record.
  • Experience in population genomics and evolutionary genomics.
  • Experience with graph-based pangenomics and SV analysis in plants.
  • Experience with GWAS/GEA analyses and Python programming.

Responsibilities

  • Develop Swedish-focused European ash pangenome and integrate long-read assemblies with population sequencing.
  • Lead methodological developments in graph-based genome analysis and population genomics.
  • Collaborate with SLU and European partners on disease resistance research.

Skills

Population genomics
Demographic inference
Evolutionary genomics
Graph-based pangenomics
Structural variant analysis
GEA/GWAS
Python
Linux HPC
Environment-genomics

Education

PhD in botany, evolutionary biology, genetics, genomics, bioinformatics, plant biology or related

Tools

Python
Linux
HPC environments

Job description

Sveriges Lantbruksuniversitet (SLU) in Uppsala invites applications for a postdoctoral position in plant evolutionary genomics and pangenomics. The project focuses on developing a Swedish-focused ash pangenome by integrating long-read assemblies with population-scale sequencing to study disease resistance and adaptation across Europe.

The candidate should have a PhD in a relevant field and strong skills in population genomics, graph-based pangenomics, SV analysis, and Python programming, with a

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