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Daisuke Kihara

Top university

6 months ago

Postdoctoral Position in Structural Bioinformatics, AI, and Cryo-EM/RNA Structure Modeling at Purdue University Purdue University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Expired

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Country

United States

University

Purdue University

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Keywords

Computer Science
Chemistry
Biomedical Engineering
Deep Learning
Biology
Mathematics
Structural Biology
Artificial Intelligence
Computational Biology
Cryo-electron Microscopy
Bioinformatic
Physics

About this position

Postdoctoral position available in structural bioinformatics at Purdue University in the group of Prof. Daisuke Kihara (Department of Biological Sciences and Department of Computer Science).

The project sits at the intersection of AI, structural biology, and bioinformatics, with research directions including biomolecular structure modeling using cryo-EM and cryo-ET data, protein and RNA structure prediction beyond AlphaFold, deep learning for structure analysis and functional annotation, and development of novel algorithms for large-scale biological data.

The lab is highly interdisciplinary and brings together biology, computer science, and statistics. The ideal candidate will have strong programming skills in Python and C++, experience in deep learning if possible, and a solid background in mathematics, biophysics, or chemistry. Applicants should hold a Ph.D. in a relevant field or expect to receive one soon.

Lab information and publications are available on the Kihara Lab website. The post says the position is available immediately. No formal deadline is listed.

Funding details

Available

What's required

Applicants should hold a Ph.D. in computer science, biology, physics, chemistry, engineering, or a related field, or expect to receive one soon. Strong programming skills in Python and C++ are required. Experience in deep learning is highly desirable, and experience with or understanding of AlphaFold and related methods is a strong plus. A solid background in mathematics, biophysics, or chemistry is preferred. Candidates should be able to collaborate effectively across disciplines while also driving independent research ideas.

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Professors

Professor

University Name
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United States

Research Interests

Biochemistry

Cell Biology

Protein Chemistry

Structural Biology

Computational Biology