Postdoctoral Position in Computational Biology: An 18-month postdoctoral position is available at the interface of machine learning, computational biology, and statistical physics. The position, starting in March 2025, offers an opportunity to contribute to groundbreaking research exploring the relationship between protein functional specificity and amino acid sequences.
Postdoctoral Position in Machine Learning and Computational Biology
Designation:
Postdoctoral Researcher
Table:
| Detail | Information |
|---|---|
| Research Area | Machine Learning, Computational Biology, Statistical Physics |
| Location | Paris-Saclay, France |
| Eligibility/Qualification | Ph.D. in a relevant field (e.g., Physics, Computer Science, Biology) |
| Job Description | Develop innovative approaches to analyze variable-length amino acid sequences and their functional specificity. Work on hierarchical models and protein language models. Candidates with experience in statistical physics and neural networks are preferred. |
| How to Apply | Interested candidates should contact Jorge Fernandez-de-Cossio-Diaz or Martin Weigt via email. |
| Last Date for Applying | Until position filled |
Research Area:
The project focuses on using methods from statistical physics and machine learning to uncover signatures of protein functional specificity encoded in amino acid sequences.
Location:
Paris-Saclay, France
Eligibility/Qualification:
Candidates are required to hold a Ph.D. in a relevant field such as Physics, Computer Science, or Biology, with a strong background in statistical methods, machine learning, and computational approaches for biological data.
Job Description:
The selected candidate will engage in research that addresses the limitations of standard protein modeling approaches, particularly those reliant on multiple-sequence alignments (MSA). The candidate will develop and implement principled methods for handling variable sequence lengths and amino acid insertions, thereby linking these methodologies to protein functions. The project will also explore hierarchical models for specific insertions and protein language models.
How to Apply:
Interested applicants should reach out via email to Jorge Fernandez-de-Cossio-Diaz at jorge[dot]fdcd[at]icloud[dot]com or Martin Weigt for further details and to express interest in the position.
Last Date for Applying:
Until position filled
