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Field
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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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other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also
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in molecular biology, genetics, Drosophila melanogaster husbandry, and fluorescence imaging approaches is required. Additionally, the successful candidate will play a major role in developing
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in molecular biology, genetics, Drosophila melanogaster husbandry, and fluorescence imaging approaches is required. Additionally, the successful candidate will play a major role in developing
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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as Health. Conduct research using existing large-scale neuroimaging datasets. Developmental Imaging Acquisition (20%)• Complete CMRR safety training to be able to independently operate the 3T scanner
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retinal tissue dissection, immunohistochemical and molecular assays, confocal imaging, and basic analysis of imaging data. The candidate will help with tissue processing and data collection across multiple
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regenerative medicine in the lab of Dr. Kai Mesa at Princeton University. The Mesa Lab has pioneered innovative intravital multiphoton imaging techniques, paired with advanced mouse genetic tools, to observe and
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/CT and PET/MR imaging for cardiac applications. Responsibilities involve working with preclinical large animal models, preclinical and clinical PET imaging, image analysis, kinetic modeling, data