Postdoc in Protein Computational Biology: Exciting opportunity for a Postdoctoral Researcher in Protein Computational Biology and Structural Bioinformatics at Leuven VIB Center for AI & Computational Biology.
Postdoc in Protein Computational Biology / Structural Bioinformatics
Designation | Postdoc in Protein Computational Biology / Structural Bioinformatics |
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Research Area | Structural Bioinformatics, Protein Evolution, Complex Network Analysis, Deep Learning |
Location | Leuven, VIB Center for AI & Computational Biology |
Eligibility/Qualification | PhD in Structural Bioinformatics, Computational Biology, Computer Sciences, or related disciplines. Proficiency in at least two of: Protein Bioinformatics, Protein Evolution, Metagenomics, Computational Protein Design, Data Science. Experience with AI/ML and modern data analytics techniques. Excellent English communication skills. Self-motivated and open to interdisciplinary collaborations. |
Job Description | Join the Pereira Lab in an interdisciplinary project focusing on interpreting protein sequence, structure, and function data. Tasks include classification and function prediction of novel protein families, analyzing evolutionary relationships, modeling protein function association networks, and studying prokaryotic protein families. As a Postdoc, you will play a key role in shaping the lab’s research direction and environment. |
How to Apply | Submit a complete application file in English, consisting of a cover/motivation letter, CV, and contact information of 2 references through the VIB online application tool. For inquiries, email Joana Pereira (joana.pereira@unibas.ch). |
Last Date for Apply | Ideal starting date March or April 2025, with a 2-year initial contract and possibility of extension. |
This position offers state-of-the-art facilities, training in various skills, and a supportive international research environment within a prestigious research institute. Apply now to contribute to groundbreaking research bridging protein bioinformatics and machine learning!