Postdoctoral Researcher Position in AI: This postdoctoral position, funded by an ERC project, focuses on the development of AI strategies for efficient protein structure learning in the context of drug discovery and chemical biology. Your work will contribute to accelerating small molecule drug discovery by leveraging cutting-edge deep learning algorithms and large protein datasets. The project’s ambition is to explore the potential of AI in capturing meaningful protein information, ultimately enhancing the therapeutic potential of molecules.
Summary Table:
| Study Area | AI for Protein Representation in Drug Discovery |
|---|---|
| Scholarship Description | Develop AI strategies for efficient protein structure learning in drug discovery and chemical biology. |
| Eligibility | Ph.D. in Computer Sciences, Computer Engineering, Bioinformatics, or related disciplines, deep learning experience. |
| Required Documents | Cover letter, CV, list of publications, contact information for three references, 2-5 selected publications. |
| How to Apply | Submit a complete application using the apply-button. |
| Last Date | Position open until filled. |
Study Area: AI for Protein Representation in Drug Discovery
Description:
Postdoctoral Researcher Position in AI for Protein Representation Learning in Drug Discovery
Eligibility: To qualify for this postdoctoral position, you should hold a Ph.D. in Computer Sciences, Computer Engineering, Bioinformatics, or a related discipline. You should have previous experience in deep learning, preferably applied to areas such as chemistry, biology, or healthcare. Additionally, a basic understanding of molecular biology and/or medicinal chemistry is desirable.
Required Documents: To apply for this position, you will need to submit a complete application, including the following documents:
- Cover letter describing your motivation and qualifications for the position.
- Curriculum vitae (CV) that lists your publications and conference contributions, along with contact information for three references.
- A list of 2 to 5 selected publications, including summaries of their content, their relevance to the project, your role in the research, and their corresponding DOIs. You may include preprints and conference papers.
How to Apply: Submit your complete application using the apply-button on the university’s website.
Last Date: The position will remain open until filled.
Join a dynamic and ambitious university and contribute to research at the intersection of AI, chemistry, and biology. Take this opportunity to advance your career in the field of protein representation learning and drug discovery. Apply today to be part of groundbreaking research!
