25.09.21 Postdoctoral Position in Computational Biology

Computational Chemistry List Home; Indiana (PA); On-site; USD 55,000 - 70,000; Full time

Job summary

The Chen Lab at the University of Missouri-Columbia is seeking highly motivated candidates for a postdoctoral position to develop biophysical and machine learning models for RNA-targeted drug discovery and RNA structure prediction. Candidates should have a PhD in Bioinformatics, Data Science, Physics, Chemistry, or a related field, with strong programming skills and demonstrated familiarity with machine learning techniques.

Email your CV to Prof.

Qualifications

• PhD in Bioinformatics, Data Science, Physics, Chemistry, or related field.
• Strong computational experience with programming.
• Familiarity with machine learning techniques.

Responsibilities

• Develop biophysical and machine learning models for RNA-targeted drug discovery and RNA structure prediction.

Skills

Programming proficiency

Machine learning familiarity

Education

PhD in Bioinformatics, Data Science, Physics, Chemistry or related field

Job description

Postdoctoral Position in Computational Biology

The Chen Lab, in the Departments of Physics and Biochemistry and the Institute for Data Science and Informatics at the University of Missouri‑Columbia, is seeking highly motivated candidates to fill a postdoctoral position. The primary focus of the position is to develop biophysical and machine learning models for RNA‑targeted drug discovery and RNA structure prediction.

Requirements: (a) A PhD in Bioinformatics, Data Science, Physics, Chemistry, or a related field. (b) Demonstrated strength in computational studies with proficiency in programming. (c) Demonstrated familiarity with machine learning techniques.

Interested applicants should send an email with a CV to Prof. Shi‑Jie Chen at mol.dyn5+*+gmail.com. Only applications submitted to the above email address will be considered and acknowledged.

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