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Zhikai Liang

5 months ago

PhD and Postdoctoral Positions in Multi-omics, Computational Biology, and Crop Genetics North Dakota State University in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

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Country

United States

University

North Dakota State University

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Keywords

Computer Science
Population Genetics
Agriculture
Biology
Predictive Modeling
Computational Biology
Omics
Genetic
Epigenetic
Bioinformatic
Metabolomic

About this position

The Multiomics and Predictive Modeling Lab at North Dakota State University, led by Assistant Professor Zhikai Liang, is recruiting for multiple positions, including one PhD student and 1-3 postdoctoral scholars. The lab focuses on cutting-edge research in multi-omics, computational biology, and the genetic basis of crop resilience. Successful candidates will lead projects that utilize computational approaches to investigate population genetics, predictive modeling, epigenomics, and metabolomics, with a strong emphasis on agricultural genomics and bioinformatics.

PhD applicants are expected to meet the standard graduate admission requirements of North Dakota State University. Postdoctoral candidates should be proficient in at least one programming language, such as Python or R, and preference will be given to those with experience in population genetics, predictive modeling, epigenomics, and/or metabolomics. The anticipated start date for the PhD position is Fall 2026, while the postdoctoral positions offer flexible start dates. Applications will be reviewed on a rolling basis until the positions are filled.

This opportunity is ideal for candidates interested in applying computational and multi-omics approaches to address key questions in crop resilience and agricultural genomics. The lab provides a collaborative environment and access to state-of-the-art resources for research in computational biology and genetics. Interested applicants should submit their applications via the provided Google form links, ensuring they log in with their Google account to access the forms. For more information about the lab and research interests, visit the LinkedIn profile of Professor Zhikai Liang.

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.

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