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University of Chicago

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Postdoctoral Fellow in Computational and Systems Biology for Gene Regulatory Network Reconstruction University of Chicago in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Country flag

Country

United States

University

University of Chicago

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Keywords

Computer Science
Biology
Artificial Intelligence
Computational Biology
Systems Biology
High-dimensional Data
Statistics
Bioinformatic
ML

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About this position

The University of Chicago is recruiting a postdoctoral fellow in computational and systems biology for a project on developing statistical, machine learning, and artificial intelligence methods to reconstruct and interpret gene regulatory networks.

The work will use computational approaches and high-dimensional biological data to advance network medicine and complex-systems research. The project is associated with PANDA and NetZoo, methodological frameworks for analyzing and interpreting gene regulatory relationships.

The fellow will work in the Laboratory for Network Medicine and Complex Systems within the Biological Sciences Division, under the supervision of Dr. John Quackenbush. The position offers a research environment at the intersection of computational biology, bioinformatics, statistics, machine learning, and systems biology.

Funding details

Available

What's required

Applicants must hold a PhD in computational biology, bioinformatics, statistics, computer science, or a related quantitative field. Strong Python and/or R skills and experience with high-dimensional biological data are required.

How to apply

Apply on a rolling basis until the position is filled by sending a cover letter, CV, and research goals statement to [email protected] with the subject line “Postdoctoral Opportunity.”

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