Postdoc focusing on the role of infective competence of the human microbiome in health and disease | Luxembourg City, Luxembourg | University of Luxembourg

Position:	Postdoc focusing on the role of infective competence of the human microbiome in health and disease
Institution:	University of Luxembourg
Location:	Luxembourg City, Luxembourg
Duties:	You will expand the the functionality of PathoFact through additional contextual information and a broader set of annotations and employ additional ML/AI-based methods to improve the identification of virulence factors as well as antibiotic resistance genes and biosynthetic gene clusters. You will, in collaboration with our project partner at EMBL-EBI, hosting and maintaining the MGnify pipeline, mature the software stack to enable easy deployment within MGnify pipelines. This will lead to computational solutions which will be applied to relevant datasets to establish a baseline of the prevalence and abundance of these microbiome-derived genes and to compare these aspects, thereby resolving the microbiome-borne pathogenic potential in a variety of diseases
Requirements:	A PhD in Biomedical Sciences, Biochemistry, Bioinformatics, Analytical Chemistry, Microbial Ecology, or related disciplines; Dry-laboratory experience; Experience in translating dry-lab experience to wet-lab experiments is considered an important asset; Previous experience in bioinformatic analysis of mixed microbial communities or Systems Biology datasets in at least one computer programming or scripting language (Python, R, Ruby, etc.) will be considered assets; A good working knowledge of basic statistical concepts

Text:	Postdoc focusing on the role of infective competence of the human microbiome in health and disease You will expand the the functionality of PathoFact through additional contextual information and a broader set of annotations and employ additional ML/AI-based methods to improve the identification of virulence factors as well as antibiotic resistance genes and biosynthetic gene clusters. You will, in collaboration with our project partner at EMBL-EBI, hosting and maintaining the MGnify pipeline, mature the software stack to enable easy deployment within MGnify pipelines. This will lead to computational solutions which will be applied to relevant datasets to establish a baseline of the prevalence and abundance of these microbiome-derived genes and to compare these aspects, thereby resolving the microbiome-borne pathogenic potential in a variety of diseases A PhD in Biomedical Sciences, Biochemistry, Bioinformatics, Analytical Chemistry, Microbial Ecology, or related disciplines; Dry-laboratory experience; Experience in translating dry-lab experience to wet-lab experiments is considered an important asset; Previous experience in bioinformatic analysis of mixed microbial communities or Systems Biology datasets in at least one computer programming or scripting language (Python, R, Ruby, etc.) will be considered assets; A good working knowledge of basic statistical concepts