We are a small multidisciplinary team that uses a combination of cellular, molecular, genetic, biomechanical, live imaging and computational approaches to understand the development of the posterior lateral line primordium. This includes the use state-of-the-art microscopy, image processing and the development of multi-scale computational models to understand the self-organization of cell-fate, morphogenesis and migration of the lateral line primordium. Our team includes Post-baccalaureate and Postdoctoral researchers with a broad range of strengths in genetics, embryology, cell biology, molecular biology, biomechanics, image processing, bioinformatics and agent-based computer modelling. We have active collaborations with other labs that have specific strengths in Mathematical modelling, biomechanics and the physics of living systems.Opportunities for Graduate Students via local and international Graduate partnership programs are also available.

Roles and Responsibilities

The candidate will use cellular, molecular, genetic, biomechanical, live imaging or computational approaches to understand the development of the posterior lateral line primordium. This includes the use state-of-the-art microscopy, image processing and the development of multi-scale computational models to understand the self-organization of cell-fate, morphogenesis and migration of the lateral line primordium. Specific focus will be on developing tools and methods for investigating, imaging, quantifying and modelling, the mechanics of collective migration, morphogenesis of epithelial rosettes and the intercellular and intracellular signaling networks that coordinate lateral line primordium development.

About You

The candidate needs to have recently completed a bachelors degree and have a strong interest in research. The current position is specifically for a candidate with experience or an interest in microscopy, image processing, biomechanics, physics of living systems. Experience with agent-based modeling, Matlab, or Cellular Potts models would be an asset.

Application

Write directly to Ajay Chitnis (chitnisa@mail.nih.gov).