美国伊利诺伊大学芝加哥分校博士后职位—单细胞生物传感与驱动

伊利诺伊大学芝加哥分校（University of Illinois at Chicago），简称UIC，创立于1982年，公立研究型大学，卡内基基金会认证的88所一类美国国家级研究型大学之一，超过3.4亿美元的科研经费使它稳居美国研究经费排名前50，是芝加哥地区规模最大、综合实力最强的公立大学。

学校在世界级金融中心芝加哥的心脏地带拥有东、西两个校区，区位优势显著。东校区的商学院曾被美国《成功》杂志列为“最佳的50所企业家商学院”第3位，商业分析与市场营销硕士项目均跻身2020年QS世界商科硕士前40位；同校区的城市规划与公共事务学院亦位居全美一流，其中城市管理专业排名全美第5，公共财政专业排名第8。

位于西校区的医学院更是在业内颇具影响力，口腔医学院、临床医学院、公共卫生学院、药学院、护理学院都处于全美一流水平，承担了世界范围内医学健康领域多个大型项目与工程，2014年与中国卫生部就卫生和医学人才培养合作签署了合作备忘录。2020年，药学院排名全美第6，公共卫生学院排名第19。

Postdoctoral Research Associate in Single Cell Biosensing and Actuation

UIC

The Mo Lab at the University of Illinois Chicago (UIC) is seeking to recruit two postdoctoral fellows to work on live cell detection and actuation of signaling via genetically encoded tools.

UIC is the largest public university in Chicago, educating over 30,000 students from diverse backgrounds both across the US and abroad. Our lab is located on the west campus, within the Illinois Medical District that combines the strength of four major hospital systems: UI Health, Rush, VA, and Cook County Hospital.

Our laboratory studies the contribution of single cell inflammatory signaling and cell death in health and disease. We are specifically interested in the functions of the membrane proteins and nodal kinases in these pathways. We aim to combine structural insights with de novo design to reveal the next-generation therapeutics for lung injury and inflammation.

We are a caring, curious, and collaborative lab with strong work ethics. Suitable candidates, who will join us in the Department of Pharmacology and Regenerative Medicine, must have a Ph.D. degree, preferably in biophysics, bioengineering, pharmacology, or a closely relevant discipline, and a proven capacity for innovative research reflected by publications. The successful applicant will excel in one or more of the following:

• Strong live cell training in fluorescence microscopy, scanning probe microscopy, spectroscopy, electrophysiology, and others

• Extensive programming experience such as Matlab, R, python, C, or other languages for image analysis, machine learning, and single cell bioinformatics

• Firm interest and working knowledge of cell signaling and its biochemistry

• Proficiency in simulation and visualization of protein dynamics is a plus

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