Постдок или аспирант-биоинформатик

Обязанности

The position will be a part of the project "RNA localization and local translation in neurons and neurodegeneration". In our prior work, we developed a neurite/soma separation scheme in combination with mass spectrometry, RNA-seq and ribosome profiling analyses, to identify proteins and RNAs that are differentially localized and translated between neurites and soma of neuronal cells (Zappulo et al., 2017). The aim of the current project is to analyze how RNA localization and local translation are affected by trans-acting factors, such as RNA-binding proteins (RBPs) with known roles in neurological diseases and neurite-localized RBPs. The selected candidate will work with RNA-seq, ribosome profiling, PAR-CLIP and mass spectrometry data, in a close tandem with experimentalists. For more information: on the institute and the lab

 
 
 

Требования

Applicants for the postdoc position should have PhD degree in computational genomics, bioinformatics, computer science, statistics or an equivalent quantitative field; excellent programming skills for data analysis preferably in R and in one of the scripting languages such as Perl/Python. In addition, experience in C/C++ would be desirable. Statistics and machine learning coursework is also necessary. Applicants for the PhD student position should have Master degree or Diploma in an equivalent field, R and Perl/Python programming and statistics experience. Knowledge of C/C++ and experience in NGS data analysis would be beneficial. 

Recommended reading:

1) Zappulo A*, van den Bruck D*, Ciolli Mattioli C*, Franke V*, Imami K, McShane E, Moreno-Estelles M, Calviello L, Filipchyk A, Peguero-Sanchez E, Müller T, Wohler A, Birchmeier C, Merino E, Rajewsky N, Ohler U, Mazzoni E, Selbach M, Akalin A, and Chekulaeva M. RNA localization is the key determinant of neurite-enriched proteome. Nature Communications 2017

2) Chekulaeva, M, Landthaler, M. Eyes on translation. Mol. Cell 2016

 
 
 

Условия

The working language is English. To apply, please send your motivation letter and CV with contact details of least two referees, as a single pdf file.

 
 
 
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