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Zhikai Liang

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PhD and Postdoctoral Positions in Multi-omics, Predictive Modeling, and Crop Resilience North Dakota State University in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

North Dakota State University

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Keywords

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

About this position

North Dakota State University is recruiting for multiple research positions in a lab led by Assistant Professor Zhikai Liang. The opening includes one potential PhD student and 1–3 postdoctoral scholars working on multi-omics, predictive modeling, population genetics, epigenomics, and metabolomics to investigate the genetic basis of crop resilience.

The PhD position is intended for applicants who meet standard graduate admission requirements and already hold an MS degree. The anticipated start date is Fall 2026. The postdoctoral positions have a flexible start date, and applicants should be proficient in at least one programming language such as Python or R.

Preference will be given to candidates with relevant experience in computational biology, data analysis, and the listed omics/genetics areas. Applications are reviewed on a rolling basis until the positions are filled, so early submission is encouraged.

Interested applicants should use the separate application links for the PhD student and postdoctoral scholar tracks. A Google account is required to access the forms.

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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