Centre National pour la Recherche Scientifique et Technique
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Postdoctoral Researcher in Machine Learning for DNA Replication Genomics Centre national de la recherche scientifique in France
Degree Level
Postdoc
Field of study
Computer Science
Funding
Temporary full-time postdoctoral contract (35 hours/week). The post states the job is not funded through an EU Research Framework Programme; no stipend amount is given.
Deadline
Oct 2, 2026
Country
France
University
Centre National pour la Recherche Scientifique et Technique
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About this position
CNRS is recruiting a postdoctoral researcher for the RepliLand project at the Institut de Biologie du Développement de Marseille (IBDM), within the Computational Biology team led by Bianca HABERMANN. The position is based in Marseille, France, and focuses on the interface of genomics, artificial intelligence, biophysics, and epigenomics.
The research goal is to develop predictive models of the DNA replication initiation probability landscape (IPLS) from limited experimental data. The project combines deep learning (e.g., CNNs), multi-omics data integration, representation learning, and mechanistic modelling to infer replication initiation patterns and improve understanding of replication timing and fork directionality. Applications include cancer research and cross-species genomics.
Key tasks include training deep learning models from epigenomic, transcriptional, and sequence data; extending the framework with tensor factorization/representation learning approaches such as AVOCADO; applying explainability methods to interpret trained models; and contributing to scientific writing and publication.
Eligibility highlights: a PhD or equivalent in computational biology, machine learning, bioinformatics, or a related field; strong Python skills; proven experience with PyTorch or TensorFlow; and an interest in high-dimensional biological data and (epi)genomics. The post also expects excellent English communication skills and the ability to work independently and collaboratively in an interdisciplinary environment. Basic French is mentioned in the listing.
Funding details: this is a temporary full-time contract (35 hours/week). No stipend amount is provided, and the listing notes that the job is not funded through an EU Research Framework Programme.
Application deadline: 2 October 2026 at 23:59 UTC. Apply via the official CNRS job portal or the Euraxess link provided in the post.
Funding details
Temporary full-time postdoctoral contract (35 hours/week). The post states the job is not funded through an EU Research Framework Programme; no stipend amount is given.
What's required
PhD or equivalent in computational biology, machine learning, bioinformatics, or a related field. Proficiency in Python is required, along with proven experience in deep learning using PyTorch or TensorFlow. Experience with high-dimensional biological data and knowledge of (epi)genomics are appreciated. Strong independent and teamwork skills in an interdisciplinary setting are expected, as well as excellent written and oral communication in English; basic French is listed.
How to apply
Apply through the CNRS job portal or the Euraxess listing. Use the official application website provided in the post and submit before the deadline.
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