The work will be focused on protein structure prediction, and structure-assisted protein function predictions using deep learning methods to understand the functional potential within the human gut microbiome. Your role will be to improve function predictions by testing various sources of structural information and determining the contributions the structures play in improving function predictions. Once the predictions are optimized, we will use them to characterize genomes and metagenomes from the gut microbiome. The project will involve collaborative work with high-profile international groups. The results will contribute to our understanding of the function of the human gut microbiome.
* hold an undergraduate degree in a quantitative field,
* have excellent written and oral communication skills in English,
* be open to learn at least one programming language (esp. Python),
* have a collaborative mindset,
* understand the importance of communication,
* have experience in either data science, statistics, machine learning, and/or metagenomics, structural bioinformatics,
* have an active interest in microbiome research,
* have a track record of presenting at research conferences and/or published research.
Please send an email with a subject line “PhD student” to work@tomaszlab.org