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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
to process the notes, EHR data as well as the images to advance the aims of the project. Mentors for the candidate will include Dr. Ashok Krishnamurthy and Dr. Matt Satusky from RENCI, Dr. Emily Pfaff from
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-electronics, Optics and opto-electronics, Signals and image processing, Systems and controls, and Very large scale integration (VLSI). Pay and Benefits Pay Range: $61,008 - $71,008; depending on education
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: The Molecular Imaging Innovations Institute (MI3): Established in 2013, MI3 is committed to the further advancement of medical imaging technologies. MI3, an inter-disciplinary institute consisting
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engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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with a group of highly motivated scientists to employ interdisciplinary approaches such as retinal cell biology, functional genomics, imaging, and biochemistry. The Chen Lab has a well-recognized
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will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be
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. The candidate is expected to have extensive experience with extracellular electrophysiology, immunofluorescence imaging, circuit tracing, behavioral testing and patch clamp recording. An important component of
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Website Link https://phoenixmed.arizona.edu/cts/phd Location Greater Phoenix Area Address Phoenix, AZ USA Position Highlights A full-time Postdoctoral Research Associate position is available in
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& Decision Neuroscience Lab (https://www.konovalab.com/) led by the Principal Investigator and located at the Rutgers Center for Advanced Human Brain Imaging Research (CAHBIR). The ADN Lab conducts decision
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on the microscopic level translates into the function on a macroscopic level. Imaging biomolecules, together with trace elements, is vital in understanding complex processes, disease mechanisms, or the effects