Project to be confirmed after rotation year

集体行为在自然界中无处不在：从成群的候鸟到建造高度复杂的教堂丘的白蚁群。同样，细胞在发育、伤口愈合、再生和癌症转移过程中也表现出集体行为。然而，细胞群的正常形态和功能是如何产生的，目前尚不清楚。因此，我们将采用一个发展中的感觉器官系统集体迁移，结合基于机器学习的图像分析和数学建模来阐明稳健的集体细胞行为的一般逻辑。这个雄心勃勃的博士项目将使一个系统级的理解如何范式多细胞动物组织健壮。

Collective behaviours are ubiquitous in nature: from flocks of migratory birds tocolonies of termites that build highly complex cathedral mounds. Similarly, cellsexhibit collective behaviours - during development, wound healing, regeneration, andcancer metastasis. However, how proper form and function of cell collectives emergereliably, is still unclear. Thus, we will employ a developing sensory organ system thatcollectively migrates, combined with machine learning-based image analysis andmathematical modelling to elucidate the general logic of robust collective cellbehaviour. This ambitious PhD project will enable a systems level understanding ofhow a paradigmatic multicellular animal is organised robustly.