Publisher
source

Clemson University

PhD Opportunity in AI for Gene Regulatory Network Inference from Single-Cell Multi-Omics Data Clemson University in United States

Degree Level

PhD

Field of study

Cell Biology

Funding

Full funding available
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Country

United States

University

Clemson University

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Keywords

Cell Biology
Computer Science
Biomedical Engineering
Biology
Artificial Intelligence
Omics
Statistics
Bioinformatic
Machine learning

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About this position

PhD opportunity at Clemson University in the USA focused on AI methods for gene regulatory network inference from single-cell multi-omics data.

The research areas highlighted include PU Learning, Multiple Instance Learning (MIL), Flow Matching, and GFlowNets, with an overall emphasis on artificial intelligence and single-cell biology. This is a strong fit for students interested in computational biology, machine learning, and data-driven biomedical research.

The post directs applicants to the Clemson University graduate admissions portal and the relevant lab website for open PhD positions and faculty contact. Required application materials include a CV, transcripts, a statement of research interests, and letters of recommendation.

No funding details or deadline were stated in the post.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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