Postdoc Position: Computational Single-Cell Biology 864 views

The Max Planck Institute of Immunobiology and Epigenetics is offering an ERC funded postdoc position (m/f/d) in computational single-cell biology for an initial period of two years with a possibility of extension. The position is available in the group of Dominic Grün.

About the position:

• The position offers the opportunity to apply machine learning techniques, statistical methods, and mathematical modeling to multilayered single-cell data with an emphasis on the integration of single-cell RNA-seq and spatial imaging-based single-cell data to interrogate the role of cell-cell interactions during cell fate decisions within complex tissues.
• The aim is to understand how the interplay of distinct cell types shapes and maintains a complex tissue.
• Possible projects involve (1) the development of computational methods for the integrative modeling of single-cell sequencing and spatial imaging data with single-molecule resolution (seqFISH) to correlate extrinsic signals with cell fate predictions, (2) developing improved methods for quantifying gene expression noise, and (3) integrating the inference of gene expression noise dynamics with cell fate prediction to elucidate the role of gene expression noise during stem cell differentiation.

Qualifications:

• Applicant must hold PhD in Physics, Mathematics, Life Science, Natural Science, or comparable,
• Strong background in at least one of the following disciplines: machine learning, statistics, mathematical modeling.
• Strong programming skills in high-level (e.g. C/C++) and/or scripting languages (Perl/Python).
• Proficiency of the R programming language, next-generation sequencing data analysis and/or image analysis is a plus.
• Profound interest in molecular biology and stem cell differentiation,
• At least one first author paper in an international peer-reviewed journal,
• Applicant must possess fluency in English.

Applications:

• Submit complete application online including a CV