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Field
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of electrophysiological, calcium imaging and video based kinematic data as well as developing biology informed self-supervised learning models. Within the predetermined research scope and methodology, conduct research
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in the Rutgers CryoEM & Nanoimaging Facility (RCNF). The RCNF serves as a university-wide resource for the imaging and three-dimensional reconstruction of cells and biomolecules. As a staff member in
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. Strong knowledge of Surface Science research. Experience working with model surfaces in ultrahigh vacuum conditions. Familiarity with Scanning Tunneling Microscopy (STM) imaging. Preferred Qualifications
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protease specificity. The position requires familiarity with biochemical protease activity assays, running SDS-PAGE gels and the quantitative image analysis thereof, and analyzing and curve fitting the
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genomics, spatial metabolomics, single-cell sequencing, Optical/Photoacoustic imaging, seahorse, WB, RT-PCT, immunostaining and data analysis related to these assays. The experiments also include using cell
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field of view (24 Megapixels – 5,760 x 4,092) and faster (3.75 times that of K2 camera). The direct detection devices are exquisitely sensitive, produce high signal to noise images, and are ideal for high
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of soft materials, and mammalian and/or bacterial cell culture(s). Practical knowledge in high-throughput experimentation, confocal microscopy, and image analysis will be a plus. Must have PhD in Polymer
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2p imaging in head-fixed mice. Compile and analyze data with appropriate conclusions and recommendations in support of further CHI research. Communicate with the PI and present the data in a timely
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. Qualifications: Doctorate degree required Background in optical imaging, data and signal processing Expertise in machine learning Experience in human subject measurements Background in optical tomography as
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, obtained within the last two years. In-depth knowledge in retinal vascular biology, mouse genetics, Ca 2+ signaling in endothelial cells, imaging and image quantifications, and endothelial cell based in