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University of Basel

Postdoc in Computational Structural Biology 80-100%

2025-04-30 (Europe/Zurich)
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Informazioni sul datore di lavoro

University of Basel ranks among the world’s one hundred best universities and boast a top-ten place among German-speaking universities.

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How does life emerge from molecules and cells? This is the central question that motivates us. With curiosity and passion, we investigate the entire spectrum ranging from the atom to the organism. The Biozentrum of the University of Basel is one of the world's leading life sciences institutes. With 31 groups and 500 employees, we are a dynamic and international research community that has spawned many fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community!

In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on artificial intelligence, for integrative modelling of macromolecular complexes, including protein assemblies, protein-ligand interactions, and conformational changes. Our research also aims to understand and predict protein-protein complementarity, design artificial protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover hidden links in the dark proteome.

At the SIB Swiss Institute of Bioinformatics, we develop SWISS-MODEL (https://swissmodel.expasy.org), a widely used web-based platform for generating high-accuracy 3D models of protein structures and complexes for application in life sciences.

In addition, we develop and maintain PLINDER, a resource designed to drive breakthroughs in deep learning-based protein-ligand complex prediction, as well as the Protein Universe Atlas, an interactive web resource for exploring the vast landscape of publicly available protein sequence and structure data. We also organise community efforts to advance the state of the art in structure prediction through initiatives such as CASP and CAMEO.
We are seeking a senior postdoctoral researcher to join our dynamic team. This position offers a unique opportunity for an ambitious scientist, providing the freedom to develop own research directions as part of our group's broader scientific efforts. We encourage candidates to explain in their cover letter how their scientific background and interests complement our group's research.

The position is initially funded for 3 years. Our team and the interactive, highly innovative nature of the Biozentrum and of Life Science in Basel provide a stimulating environment that offers all the possibilities to be creative and highly productive. Basel is a city that provides a high standard of living and offers all the advantages of an international community.
  • PhD in structural bioinformatics, computational biology, or a related field, with at least two years of postdoctoral experience and a strong publication record. Applications from fresh PhD graduates may only be considered in exceptional cases.
  • Experience in biochemistry, protein bioinformatics, or biology
  • Experience and interest in modern data analytics techniques, AI / ML, and current trends in computational biology
  • Self-motivation, drive and proven ability to define new research directions

Application / Contact

Please apply online https://biped.biozentrum.unibas.ch/apply/postdoc-computational-structural-biology and provide a motivation statement that describes how your background and scientific interests complement our group's research efforts, CV, and contact information for two references.

Review of applications will begin immediately and proceed until the position has been filled. Early application is strongly encouraged.

Dettagli del lavoro

Titolo
Postdoc in Computational Structural Biology 80-100%
Datore di lavoro
Sede
Petersplatz 1 Basilea, Svizzera
Pubblicato
2025-04-10
Scadenza candidatura
2025-04-30 23:59 (Europe/Zurich)
2025-04-30 23:59 (CET)
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Informazioni sul datore di lavoro

University of Basel ranks among the world’s one hundred best universities and boast a top-ten place among German-speaking universities.

Visita la pagina del datore di lavoro

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