Přehled

Tomáš Pluskal Group at IOCB Prague combines cutting-edge experimental (e.g., LC-MS, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches to develop rapid, generally applicable workflows for the discovery and utilization of bioactive molecules derived from plants. We are looking for talented and motivated computational researchers to join our team.

The successful candidate for this position will be developing new tools and approaches for computational metabolomics, especially (but not limited to) using the popular mzmine framework for mass spectrometry data processing.

IOCB Prague is one of the leading research institutes in central Europe with a vibrant international environment and excellent equipment and core facilities located in modern buildings close to the Prague city center.

Requirements:

• PhD degree in the field of computer science, bioinformatics, or machine learning obtained no more than 5 years ago
• Good track record of previous scientific publications and achievements
• Fluency in spoken and written English
• Passion for basic research and science

We offer:

• Competitive salary
• 5 weeks of vacation + 4 days of personal leave
• Health insurance and full benefits package incl. contribution to pension, culture, and sport
• Lunch subsidy
• Financial support for parents with young children who return to work immediately after the maternity/parental leave
• Other IOCB employee benefits

Additional information:

• Expected starting date: negotiable
• Initial full-time fixed-term contract for one year, with the possibility of extension

How to apply:

Please email your CV, a cover letter, and contact details of 2-3 references to Dr. Tomáš Pluskal: tomas.pluskal@uochb.cas.cz.

Relevant publications:

• Schmid, R., Heuckeroth, S., Korf, A. et al. Integrative analysis of multimodal mass spectrometry data in MZmine 3. Nat Biotechnol 41, 447–449 (2023) https://doi.org/10.1038/s41587-023-01690-2
• Heuckeroth, S., Damiani, T., Smirnov, A. et al. Reproducible mass spectrometry data processing and compound annotation in MZmine 3. Nat Protoc (2024) https://doi.org/10.1038/s41596-024-00996-y
• Bushuiev, R., Bushuiev, A., et al. Emergence of molecular structures from repository-scale self-supervised learning on tandem mass spectra. ChemRxiv (2024) https://doi.org/10.26434/chemrxiv-2023-kss3r-v2
• Mutabdžija, L. et al. (2024). Studying Plant Specialized Metabolites Using Computational Metabolomics Strategies. In: Maghuly, F. (eds) Plant Functional Genomics. Methods in Molecular Biology, vol 2788. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3782-1_7

Source: https://www.uochb.cz/en/open-positions/294/postdoctoral-fellow-in-computational-mass-spectrometry

IOCB Prague is a leading internationally recognized scientific institution whose primary mission is the pursuit of basic research in chemical biology and medicinal chemistry, organic and materials chemistry, chemistry of natural substances, biochemistry and molecular biology, physical chemistry, theoretical chemistry, and analytical chemistry. An integral part of the IOCB Prague’s mission is the implementation of the results of basic research in practice. Emphasis on interdisciplinary research gives rise to a wide range of applications in medicine, pharmacy, and other fields.