**Job Description**
This PhD project focuses on understanding how microbes interact with the human host to address chronic inflammatory, autoimmune, and infectious diseases. It involves harnessing cutting-edge sequencing technologies, including metagenomics and transcriptomics, to explore the dynamic interplay between human gene expression and microbial communities. The successful candidate will develop and apply computational and machine learning approaches to integrate Oxford Nanopore (ONT) long-read data with bulk and single-cell RNA-seq profiles, aiming to identify host-microbiome molecular signatures that drive immune regulation, inflammation, or disease susceptibility. This interdisciplinary project offers a unique opportunity to work at the intersection of human genomics, microbiome science, and computational biology.
**Skills & Abilities**
• Strong interests in microbiome-host biology, bioinformatics, or machine learning.
• Experience with R or Python (desirable).
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