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大教堂土丘的白蚁群体。同样，细胞抑制集体行为--在发育、伤口愈合、再生和癌症转移期间。然而，细胞集合体的适当形式和功能如何出现仍然不清楚。因此，我们将使用一个正在开发的集体迁移的感官系统，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人们能够系统地理解一个典型的多细胞动物是如何组织起来的。

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.