Postdoc in Protein Computational Biology/Structural Bioinformatics
Postdoc in Protein Computational Biology/Structural Bioinformatics
VIB
Leuven, Belgium
Job description
We are seeking a postdoc to join the Pereira Lab for an interdisciplinary project that integrates structural bioinformatics, protein evolution, complex network analysis, and deep learning. The main aim is to develop interdisciplinary and integrative tools and approaches to better interpret the massive and ever-growing protein sequence, structure, and function data in public repositories.
This includes, but is not limited to:
- the classification and function prediction of novel protein families and superfamilies;
- the interpretation of evolutionary relationships in large protein similarity networks;
- the prediction and modeling of protein function association networks;
- the in-depth study of the origins, evolution and biological functions of novel prokaryotic protein families with a direct impact on human health or a potential for novel biotechnological or biomedical applications.
Profile
We are looking for a postdoctoral researcher interested in developing computational methods to predict, label, model and map the protein universe on a large scale. The ideal candidate has the following qualifications:
- PhD in structural bioinformatics, computational biology, computer sciences, or related disciplines;
- You can strengthen our team in at least two of the following areas: protein bioinformatics, protein evolution, metagenomics, computational protein design, data science;
- Experience and interest in modern data analytics techniques and AI/ML;
- Good communication skills in English;
- Self-motivation, drive and ability to define new research directions;
- Open to working in interdisciplinary collaborations with experimental labs.
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