The next Block Lecture of the International PhD Programme and the International Summer School will be from 14. - 25. August. The Introductory Lecture "Epigenetic mechanisms
in evolution" (09:00 - 09:50) and the Special Lecture "HOT or NOT: The effect of target structure and temperature on small RNA pathways" (10:00 - 11:00) are scheduled for
Wednesday, 23. August, 9:00 - 11:00. The lectures will be held by David Rosenkranz, whose lectures were among the best lectures of the Block Lecture Series 2016 according to the students
evaluation... SO DON'T MISS IT! You can download the final version of the Block Lecture Schedule
in the next days.
Information for students
PDF files from lectures and talks can be downloaded below. Files are compressed and decompression requires a password since
some documents may contain unpublished data or third party material. The files are for personal use only. You will get the password
at the end of each lecture (or contact David Rosenkranz).
Applications for a Bachelor-, Master- or PhD position are welcome!
Interested and motivated bachelor/master/PhD students are welcome to
apply for a thesis position in our group. We currently offer a PhD project
in the IPP summer call 2016. The candidates are expected
to have a good biomolecular background. Beside the wet lab work the
projects will imply bioinformatic analyses. Skills in a programming
language such as Perl, Python or C/C++ are advantageous. At least we expect
the candidates to aquire these skills in the course of their thesis.
The candidates will learn and apply a number of classical molecular lab techniques such as: - DNA/RNA Extraction and Purification - PCR and quantitative Real-Time PCR (qPCR) - Agarose/Polyacrilamide Gelelectrophoresis - Cell culture techniques incl. knock-down experiments - Co-Immunoprecipitation (Co-IP) - Western Blot - NGS Library Preparation - Molecular Cloning - Sanger Sequencing
Many projects include the analysis of Next Generation Sequencing data.
The extent of data produced by these new sequencing techniques requires
robust automated processing and analysis methods. Therefore the
candidates have to apply bioinformatic tools that for the most part
represent in-house Perl scripts that have been developed in our group.
However, analyses will likely require the customization of existing, or
the development of new Perl scripts. Large scale analysis can be
performed on the institute's high performance linux server (64 cores,
260 GB RAM).
Below you find some recommendations for further reading.