Postdoc in machine learning applied to gene regulation, France

Position title: Postdoc in machine learning applied to gene regulation

Employer: CNRS

Closing date: 1/3/2019

Brief position description: A two-year postdoctoral position is available in the machine learning and gene regulation group directed by William Ritchie at the Institut de Génétique Humaine in Montpellier, South of France. The IGH is a world leader in the field of gene regulation, with state-of-the art facilities and teams of international renown.

Our group uses machine learning approaches to integrate omics data to understand normal biology and disease. We have a strong background in applying novel algorithmic approaches to better understand mechanisms of gene expression and RNA processing (Middleton et al., Genome Biology, 2017; Wong et al., Nature Comms, 2017; Wong et al., Cell, 2013).

We have currently generated a wealth of transcriptomic data (mRNA-seq, ONT long-read seq) and epigenetic data to dissect the epithelial to mesenchymal transition underlying tumor progression and metastasis. We will integrate this data as well as explore long range interactions that may regulate RNA processing through direct contact with enhancers. 

We are therefore looking for very motivated, hard-working and creative candidates with strong background in computer science or statistics to explore RNA regulation through epigenetic and long range interactions. Previous expertise in RNA processing and/or epigenetics will be positively evaluated.

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Contact name: william ritchie

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