Postdoctoral Fellow in hologenomic/multi-omic modelling
Core
Leading large-scale multi-omics data analysis to integrate genomic, transcriptomic, metagenomic, and phenotypic data to understand host-microbe interactions in chicken susceptibility to Campylobacter infection.
Role type
Postdoctoral Fellow in computational genomics and microbial ecology
Builds
Scientific publications and research insights on host-microbiome integrative genomics
Domain
Agricultural science / Microbial ecology / Genomics
Deliverable
research
Required skills
metagenomic analysis, statistical and computational modelling, differential gene expression analysis, microbiome diversity analysis, host–microbiome association testing, mGWAS, hierarchical Bayesian community modelling, Linux/HPC environments, R, Python, Bash
Preferred skills
shotgun sequencing metagenomic analysis, multivariate analysis for linking microbial profiles to host phenotypes, analyzing host–microbiome interactions in farmed animal systems
Technologies
R, Python, Bash
Responsibilities
Characterize chicken gut microbiomes in a multi-institution collaboration, perform genomic data analysis and scientific writing, conduct statistical and computational modelling analyses, mentor student trainees, collaborate with NMBU team to incorporate non-omic data
Seniority
Postdoctoral, independent researcher with mentorship duties