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Robert Paton

5 days ago

Postdoc in Machine Learning for Spectroscopic Prediction and Structure Elucidation Colorado State University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral research position; funding details are not specified in the post.

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Country

United States

University

Colorado State University

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Keywords

Computer Science
Chemistry
Biology
Open Source Development
Chemoinformatics
Natural Product
ML

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About this position

Robert Paton at Colorado State University is recruiting a postdoc to join his group as soon as possible.

The project focuses on machine learning models for spectroscopic prediction, including both forward prediction (structure to spectrum) and inverse prediction (spectrum to structure). The goal is to support automated structure elucidation of natural products and other small molecules at scale.

The postdoc will work across several experimental teams at multiple institutions and contribute to ongoing efforts in NMR prediction and open-source tool development.

Applicants should have a PhD in chemistry, computer science, or a related field, plus experience in machine learning and a strong interest in spectroscopy, structure elucidation, or cheminformatics.

The position is available immediately. Interested candidates should contact Robert Paton by email with a CV.

Funding details

Postdoctoral research position; funding details are not specified in the post.

What's required

A PhD in chemistry, computer science, or a related field is required. Applicants should have experience in machine learning and a strong interest in structure elucidation, spectroscopy, or cheminformatics.

How to apply

Email Robert Paton with a CV to express interest. The position is available immediately.

More information can be found here

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