Postdoc: AI for DNA Replication Genomics

CNRS - National Center for Scientific Research; France; Presencial; EUR 42.000 - 55.000; Jornada completa

Descripción de la vacante

CNRS Department Institut de Biologie du Développement de Marseille seeks a postdoctoral researcher to join the RepliLand project, an interdisciplinary effort at the interface of genomics, AI, and biophysics. The mission is to develop predictive IPLS models from limited data with applications in cancer research and cross-species genomics.

Applicants should have a PhD in computational biology or related field, strong Python and deep learning skills (PyTorch or TensorFlow), and experience with

Formación

• PhD in computational biology, machine learning, bioinformatics or a related field.
• Proficiency with Python programming.
• Proven experience in deep learning (PyTorch or TensorFlow).
• Experience with high-dimensional biological data and knowledge in (epi)genomics is advantageous.
• Ability to work independently and in an interdisciplinary team setting.
• Excellent scientific writing and oral communication in English.

Responsabilidades

• Develop and train deep learning models (CNNs, etc.) to predict IPLSs from multi-omics data.
• Apply representation learning methods to enable imputation and transfer learning across species.
• Utilize explainability methods to extract biological insights from trained models.
• Keep up to date with literature and contribute to scientific articles.

Conocimientos

Python programming

Deep learning

English communication

Educación

PhD in computational biology, machine learning, bioinformatics or related field

Herramientas

PyTorch

TensorFlow

Descripción del empleo

CNRS Department Institut de Biologie du Développement de Marseille seeks a postdoctoral researcher to join the RepliLand project, an interdisciplinary effort at the interface of genomics, AI, and biophysics. The mission is to develop predictive IPLS models from limited data with applications in cancer research and cross-species genomics.

Applicants should have a PhD in computational biology or related field, strong Python and deep learning skills (PyTorch or TensorFlow), and experience with