-
to identify dysbiosis signatures. Apply bioinformatics tools for microbiome data analysis (ex, QIIME2, MetaPhlAn, Kraken2). Collaborate on multi-omics data integration and analysis. Contribute to manuscript
-
factors, and mobile elements in microbiome datasets. Collaborate with clinical partners and microbiome researchers to integrate multi-omics data for comprehensive resistome analysis. Publish high-quality
-
in molecular biology Excellent programming skills Experience in computational analysis of molecular data Experience with high performance computing Aptitude for team work, problem solving and
-
. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics). Experience in GIS and ecological mapping. Strong scientific writing skills and command
-
analysis (ex, QIIME2, MetaPhlAn, Kraken2). Collaborate on multi-omics data integration and analysis. Contribute to manuscript writing, conference presentations, and grant applications. Required
-
of biology and the effect of mutations. He/she would also be required to have a sound computational background, especially in the area of simulations. Criteria of the candidate: PhD in the field
-
partners and microbiome researchers to integrate multi-omics data for comprehensive resistome analysis. Publish high-quality research articles and present findings at international conferences. Contribute
-
foundation in Bio/chemistry, Bioprocess, and Microbial Biotechnology. Additionally, candidates should possess expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data
-
knowledgeable in molecular biology and chemical analysis. Proficiency in biostatistics is very desirable. The postdoctoral fellow will play an integral role within our dynamic, multidisciplinary team dedicated