Publisher
source

University of Arkansas

Funded PhD in Population Genetics, Microbiome Genomics, and Bioinformatics at University of Arkansas University of Arkansas in United States

Degree Level

PhD

Field of study

Population Genetics

Funding

The PhD position is funded, but no details are provided regarding the type or amount of funding, stipend, or tuition coverage.

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Country

United States

University

University of Arkansas

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Keywords

Population Genetics
Biology
Causal Inference
Genetic
Bioinformatic
Machine learning

About this position

The University of Arkansas is offering a funded PhD position in the USA, specifically in Arkansas, for candidates interested in bioinformatics and genetics. The research focus includes population genetics, microbiome genomics, mGWAS (microbiome genome-wide association studies), causal inference, and machine learning. This opportunity is ideal for students with a strong background in bioinformatics or genetics who are eager to work at the intersection of computational biology and genomics. The position is supervised by Aranyak Goswami, and applicants are encouraged to have experience or interest in advanced genetic analysis, microbiome research, and computational methods such as machine learning. While the announcement highlights that the position is funded, specific details about the funding package, stipend, or tuition coverage are not provided. Interested candidates should contact Aranyak Goswami at the University of Arkansas for more information and application procedures. This is a great opportunity for those aiming to advance their research skills in population genetics and bioinformatics within a supportive academic environment in the United States.

Funding details

The PhD position is funded, but no details are provided regarding the type or amount of funding, stipend, or tuition coverage.

What's required

Candidates should have a background in bioinformatics or genetics, with interest or experience in population genetics, microbiome genomics, mGWAS, causal inference, and machine learning. Specific degree or GPA requirements are not mentioned.

How to apply

Contact Aranyak Goswami at [email protected] to apply. Prepare your application materials and reach out via email for further instructions.

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