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Institutes of Health and the Delaware Community Foundation. The postdoctoral researcher will contribute to the development of novel, fast, and high-resolution MRE imaging methods to characterize brain
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of Estuarine and Delta Systems research of the Royal Netherlands Institute for Sea Research (NIOZ) is looking for an enthusiastic post-doc to study performing physical and biological measurements with novel
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advanced imaging to dissect the cellular signaling and regulatory networks that control photosymbiosis between cnidarian hosts and their microalgal symbionts. The Project - PhagoPhoRe This position is
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. Execute Data Science Workflows: Utilize Montana State University’s Tempest Supercomputer to process large imaging datasets and generate distribution heat maps. Collaborate Across Institutions: Coordinate
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. Proficiency in mammalian cell culture, microscopy imaging, flow cytometry, and other techniques related to molecular microbiology and immunology. A proven track record of scholarly productivity, demonstrated by
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, design of experiments, image and data processing. Position Requirements Recent or soon-to-be-completed PhD with strong background in Physics or Materials Science (within the last 5 years) Physics
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
/Administrative Internal Number: 25553 POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center, to join an MIT team in collaboration with the Princeton Plasma Physics Laboratory to operate x-ray diagnostics
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neuromodulation therapies such as deep brain stimulation. The team combines intracranial recordings and EEG, brain imaging, brain stimulation, modelling and advanced signal analysis to link neural dynamics
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) for downstream mass spectrometry analysis. o 2-photon imaging of cerebrovasculature in vivo to study vascular dynamics during neuroinfectious events. o Investigate the underlying mechanisms mediating chronic
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(preparation and staining (IF, IHC), confocal and fluorescence microscopy, analysis and evaluation) Experience with quantitative analysis of imaging or physiological data (e.g., microscopy, cardiac imaging