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Loyola University Chicago

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Postdoc in EF-hand Metalloprotein Modeling and Machine Learning Force Fields Loyola University Chicago in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

United States

University

Loyola University Chicago

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Keywords

Computer Science
Chemistry
Biology
Physics

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About this position

Postdoctoral position at Loyola University Chicago, Department of Chemistry & Biochemistry, in Chicago, Illinois, USA.

The project is in the Lab of Dr. Pengfei Li (Associate Professor) and focuses on EF-hand metalloprotein modeling, including classical force field development and machine learning force fields. The work is tied to AMBER MD software and the MCPB.py program development.

Applicants should have a PhD in chemistry, physics, biology, or molecular biology. Prior experience with protein molecular dynamics simulations is required, and force field development experience is highly valued.

The post notes that Loyola is a Carnegie R1 research university and that the PI is an NIH MIRA/R35 awardee. The position is open with no deadline stated.

To apply, email [email protected] with a cover letter, CV, and representative publications.

Funding details

Available

What's required

A PhD in chemistry, physics, biology, or molecular biology is required. Experience with protein molecular dynamics simulations is required, and force field development experience is highly valued.

How to apply

Email [email protected] with a cover letter, CV, and representative publications. The post says the position is open and no deadline is stated.

More information can be found here

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