Postdoctoral position in Machine Learning and Computational Biology Full-time

Postdoctoral Research Position In Life Science Convergence Environment Gene–Epigenome–Active Matter Nexus In Early Embryogenesis

The candidate will be part of a newly established Life Science Convergence Environment GENESIS: Gene–Epigenome–Active Matter Nexus in Early Embryogenesis, funded by UiO's interdisciplinary strategic initiative UiO:Life Science. GENESIS brings together active matter physics, cell biology, and computational biology to address the fundamental processes guiding the earliest stages of mammalian embryo development. The project will combine experimental data obtained through advanced live imaging and spatially resolved molecular profiling with theoretical and computational modeling.

The postdoctoral candidate will:

1. Analyze quantitative molecular and imaging data produced by other members of GENESIS.
2. Develop new machine learning models to identify gene regulatory mechanisms involved in the physical mechanisms of cellular self-organization during early mouse embryo.
3. Develop new machine learning models to learn minimal dynamic models of gene regulation from longitudinal molecular and imaging data.
4. Work closely with other members of GENESIS performing biological experiments, quantitative imaging and biophysical modeling to develop a unified multiscale framework connecting gene regulation, tissue mechanics and morphogenesis.

The candidate will be employed at the Oslo Centre for Biostatistics and Epidemiology (OCBE) at the Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo. While the candidate will have a desk at OCBE premises at Domus Medica, the main physical working location will be the new Life Sciences Building, where the GENESIS convergence environment will be located. In addition, the candidate will be associated to the center of excellence Integreat, the Norwegian center for knowledge-driven machine learning, in which OCBE is a partner institution.

Starting date for the position should be no later than September 15th, 2026.