招聘简介：
美国佐治亚理工学院和埃默里大学医学院生物医学工程学院的Coulter生物混合系统实验室（https://www.biohybridlab.org/）分别在本科和研究生BME项目中排名第1和第3。该实验室是高度多学科的，主要研究心脏和骨骼肌工程。我们的目的是阐明：（1）生物系统如何协调其各个组成部分的层次结构和功能，以产生紧急的物理行为，如形态发生、迁移和收缩；（2）破坏这种协调如何加剧疾病。基于候选人的研究背景和兴趣，该研究员将有机会从事潜在的项目：（1）通过使用携带患者特异性突变的诱导多能干细胞源性心肌细胞来模拟遗传性肌肉疾病；（2）开发能够进行再灌注的交互式生物杂交机器人系统。养蜂组织和器官水平的协调功能，通过利用心脏和骨骼肌系统。该项目将融合分子生物学、肌肉机械/电子生物学、光学和机器人学，这些学科跨越了以前从未在单一系统中一起研究过的远程学科。
英文原文：
The biohybrid systems laboratory (https://www.biohybridlab.org/) of Sung-Jin Park, Ph.D. is housed in the Coulter Department of Biomedical Engineering at Georgia Institute of Technology and Emory University School of Medicine, ranked #1 and #3 in the USA among undergraduate and graduate BME programs, respectively. The laboratory is highly multidisciplinary with primary interests in cardiac and skeletal muscle engineering. We aim to elucidate (1) how biological systems coordinate the hierarchical structures and functions of their individual components in order to produce emergent physical behaviors such as morphogenesis, migration, and contraction and (2) how disrupting this coordination potentiates disease. Based on the candidate’s research background and interests, the fellow would have the opportunity to work on potential projects: (1) modeling inherited muscle diseases through the use of induced pluripotent stem cell-derived cardiomyocytes carrying patient-specific mutations and (2) developing interactive biohybrid robotic systems capable of recapitulating tissue- and organ-level coordinated functions by harnessing cardiac and skeletal muscle systems. The project will amalgamate molecular biology, muscle mechano/electro-biology, optics, and robotics, which span remote disciplines that previously have never been investigated together in a single system.
Applicants must hold a Ph.D. and/or MD degree (or the equivalent). Hands-on experience with the development of in vitro cell/tissue models or stem cell research is required. Additional experience in live cell imaging, cardiac and skeletal muscle tissue engineering, stem cell engineering, gene editing, molecular biology, single molecule fluorescence in situ hybridization (smFISH), optogenetics, microfabrication, tissue scaffold design and engineering, massive data and image processing, and computational modeling is desirable.
ality in education and employment.
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