Our group is looking for a post-doctoral researcher to develop methodology for the analysis of cancer epigenetics data (1 year project). We have already developed several widely used methods for cancer data analysis (http://boevalab.com/tools.html). Our research center is located in a nice central district of Paris close to Port Royal and in a walking proximity from the Luxembourg garden.
This offer provides an opportunity to work on a challenging algorithmic problem with a direct application to cancer research. The goal of the project is to formulate a strategy for the analysis of ChIP-seq signal coming from dozens of tumor samples. ChIP-seq (chromatin immunoprecipitation and sequencing) is the most commonly used technique to characterize DNA binding profiles of DNA-associated proteins: transcription factors, histone modifications and histone variants and polymerase binding.
The candidate should have computer science, mathematics, physics or bioinformatics background and have strong programming skills (C++ and (Python or R)). A doctoral degree, excellent knowledge of statistics, understanding of data analysis techniques and proficiency in English are required. Experience in bioinformatics analysis would be a plus.
Starting date: July 1, 2016 or later
To apply, please send your CV, a motivation letter in English, and the names of two references to: Valentina.Boeva [at] inserm.fr
Deadline for applications: July 30, 2016
Institute website: http://cochin.inserm.fr/institute/in...e-presentation
Group website: http://boevalab.com/
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The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...-
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04-22-2024, 07:01 AM -
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Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...-
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04-04-2024, 04:25 PM -
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