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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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assays, and immunofluorescence imaging. Assists in the establishment of performance standards, the selection of research methodologies and instrumentation, and coordination of experimental approaches in
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on the MobilityNet project funded by the NSF (https://www.nsf.gov/awardsearch/show-award?AWD_ID=2411151 ). The objective is to assess the suitability of the tools being developed for transportation planners. This will
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-level structural and functional magnetic resonance imaging (MRI), transcranial magnetic stimulation (TMS), and human electrophysiology (EEG) data acquisition and analysis using standard and advanced
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required. Experience with in vivo imaging in head-fixed behaving mice is required. Experience with Arduino microcontrollers for the design and control of mouse behavioral paradigms is required. Extensive
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-cancer research, imaging is preferred but not required at all. Certifications/Licenses Required Knowledge, Skills, and Abilities Candidates must be able to: Demonstrate a solid training background in 1
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using specific laboratory techniques that involve flow cytometry analysis, animal models of airway and brain disorders, single-cell RNA-seq, multiplex cytokine assays, and immunofluorescence imaging
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used; the Framework for Assessment of Changes To Sea-level (FACTS; https://www.fact-sealevel.org/ ), an open-source sea-level projection framework initially developed by the lab, supported
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- Prior experience in somatosensory research. - Familiarity with advanced imaging, electrophysiological techniques, and behavioral assay methodologies. - Proficiency in using bioinformatics tools
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Position Status Full Time Working Hours 37.5 Standard Hours 37.50 Daily Work Shift Work Arrangement