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PostDoc - Bioinformatics - Computational RNA Biology
Max Planck Institute for Biology of Ageing,Germany
The newly founded research group "Computational RNA Biology and Ageing"
headed by Dr. Christoph Dieterich
is looking for
a postdoctoral researcher (m/f)
in Computational RNA Biology
The successful candidate will join an enthusiastic and collaborative bioinformatics team in an excellent scientific environment. The Dieterich Lab is unifying research and service tasks with an emphasis on questions in post-transcriptional gene regulation and ageing. Especially, novel technologies in nucleic acids sequencing, mass spectrometry and imaging provide high-throughput data at an unprecedented depth and level of detail. The Dieterich Lab exploits these data source to leverage and deepen our understanding of post-transcriptional gene regulation on a systemic level.
This project either focuses on method development for the comparative and context-specific analysis of miRNA-RNA and RNA-protein binding and its influence on RNA properties (such as stability) or on systematic data integration (post-transcriptional network analysis and visualization) with a graphical user interface component. Of particular interest to us are applicants who want to study two or more aspects of the list below
Applicants should have a strong background in computer science, bioinformatics or comparable discipline. Fluent spoken and written English is expected. Your technical expertise is complemented by essential soft skills: the ability to communicate and work in teams, flexibility and targeted action.
PLEASE APPLY THROUGH OUR WEBSITE
References:
Anders, G., Mackowiak, S.D., Jens, M., Maaskola, J., Kuntzagk, A., Rajewsky, N., Landthaler, M., and Dieterich, C. (2012). doRiNA: a database of RNA interactions in post-transcriptional regulation. Nucleic Acids Res 40, D180-186.
Baltz, A.G., Munschauer, M., Schwanhausser, B., Vasile, A., Murakawa, Y., Schueler, M., Youngs, N., Penfold-Brown, D., Drew, K., Milek, M., et al. (2012). The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts. Mol Cell 46, 674-690.
Dieterich, C., and Stadler, P.F. (2013). Computational biology of RNA interactions. Wiley Interdiscip Rev RNA 4, 107-120.
Li, N., You, X., Chen, T., Mackowiak, S.D., Friedlander, M.R., Weigt, M., Du, H., Gogol-Doring, A., Chang, Z., Dieterich, C., et al. (2013). Global profiling of miRNAs and the hairpin precursors: insights into miRNA processing and novel miRNA discovery. Nucleic Acids Res 41, 3619-3634.
Max Planck Institute for Biology of Ageing,Germany
The newly founded research group "Computational RNA Biology and Ageing"
headed by Dr. Christoph Dieterich
is looking for
a postdoctoral researcher (m/f)
in Computational RNA Biology
The successful candidate will join an enthusiastic and collaborative bioinformatics team in an excellent scientific environment. The Dieterich Lab is unifying research and service tasks with an emphasis on questions in post-transcriptional gene regulation and ageing. Especially, novel technologies in nucleic acids sequencing, mass spectrometry and imaging provide high-throughput data at an unprecedented depth and level of detail. The Dieterich Lab exploits these data source to leverage and deepen our understanding of post-transcriptional gene regulation on a systemic level.
This project either focuses on method development for the comparative and context-specific analysis of miRNA-RNA and RNA-protein binding and its influence on RNA properties (such as stability) or on systematic data integration (post-transcriptional network analysis and visualization) with a graphical user interface component. Of particular interest to us are applicants who want to study two or more aspects of the list below
- Alternative RNA topologies (.i.e alternative cis and trans splicing)
- Cis-regulatory elements in RNA
- RNA editing
- RNA-Protein interactions (CLIP, protein occupancy profiling)
- Combinatorial action of RNA binding proteins and miRNAs on target mRNAs.
- Post-transcriptional networks in disease and ageing
Applicants should have a strong background in computer science, bioinformatics or comparable discipline. Fluent spoken and written English is expected. Your technical expertise is complemented by essential soft skills: the ability to communicate and work in teams, flexibility and targeted action.
PLEASE APPLY THROUGH OUR WEBSITE
References:
Anders, G., Mackowiak, S.D., Jens, M., Maaskola, J., Kuntzagk, A., Rajewsky, N., Landthaler, M., and Dieterich, C. (2012). doRiNA: a database of RNA interactions in post-transcriptional regulation. Nucleic Acids Res 40, D180-186.
Baltz, A.G., Munschauer, M., Schwanhausser, B., Vasile, A., Murakawa, Y., Schueler, M., Youngs, N., Penfold-Brown, D., Drew, K., Milek, M., et al. (2012). The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts. Mol Cell 46, 674-690.
Dieterich, C., and Stadler, P.F. (2013). Computational biology of RNA interactions. Wiley Interdiscip Rev RNA 4, 107-120.
Li, N., You, X., Chen, T., Mackowiak, S.D., Friedlander, M.R., Weigt, M., Du, H., Gogol-Doring, A., Chang, Z., Dieterich, C., et al. (2013). Global profiling of miRNAs and the hairpin precursors: insights into miRNA processing and novel miRNA discovery. Nucleic Acids Res 41, 3619-3634.