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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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the display and the distribution of processed data. Related projects and responsibilities will include: Creation of artificial intelligence algorithms that effectively integrate molecular, pathology/image, and
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studies fundamental processes in endothelial cells driving cardiometabolic diseases including atherosclerosis, thrombosis and type 2 diabetes. In particular, the team interrogates the role of endothelial
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image processing, disease detection, diagnosis, and therapeutic monitoring. The program addresses critical regulatory challenges posed by AI devices that can continuously learn and adapt, including
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the physical and chemical processes that define the functional state of a cell. Our goal: To make 4D (space plus time) computational whole cell models of bacterial, yeast, and mammalian cells. We are working
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to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other laboratory members with expertise in epidemiology, bioinformatics