Graduate students (PhD and Honours)

 

Why should you join our lab? We study cancer- and development-related biological processes with focus on large multi-protein complexes that essential for epigenetic regulation. We offer experience in cutting edge approaches of genomics, proteomics and structural biology and we are offering significant top-ups to holders of primary PhD scholarships. Since our lab is extremely multidisciplinary, you are likely to be exposed to methods and subjects much beyond the scope of your specific study.

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Candidates should be highly motivated, have a good background in Life Sciences, Chemistry and/or Computer Science, with strong INTEREST (experience is not required) in gene regulation and epigenetics. Available projects will typically allow to gain hands-on experience in at least ONE of the following methodologies:

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• Structural Biology, using cryo-EM, X-ray crystallography and cutting edge protemic approaches for mapping protein-protein and protein-RNA interaction using mass spectrometry.

• Biochemistry and Biophysics, using reconstituted systems in vitro, including complexes of multi-protein subunits and nucleic acids. We have large variety of projects, from the development of screens for anti-cancer drugs to basic research, with focus in epigenetic modifiers that are essential for development and lineage commitment.

• Molecular Biology, using mammalian tissue cultures in combination with functional genomic screens, genome editing techniques and next-generation sequencing approaches. We have large variety of projects, aiming at understanding the molecular processes dictating the regulation of genes involved in embryonic development, tissue regeneration, inflammatory responses and tumorigenesis.

• Bioinformatics, with emphasis on the development and implementation of computational approaches for next-generation sequencing data analysis to address various genomic and transcriptomic approaches (RNA-seq, ChIP-seq, PAR-CLIP, iCLIP, SELEX-seq etc.). No prior knowledge in bioinformatics is required, but computational projects require prior knowledge in programming.