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radiolysis as a tool to study fundamental molecular energy conversion processes such as charge separation, transfer/transport and recombination, as well as projects with applications in light-driven chemical
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therapy, micro-dosimetry, scintillating dosimetry, ultra-high dose-rate dosimetry for protons and/or electrons, accuracy in radiation measurement, AI-integrated high-resolution imaging systems, and the
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., optical coherence tomography and X-ray imaging). The project will include exploring new membrane materials, exploring degradation mitigation strategies, and guiding next-generation membrane design for
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contribute to the excellence of our academic community. Supervised by the PI, the individual will be expected to develop and collaborate on a series of cutting-edge radiochemistry and CNS-targeted imaging
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours 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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The Chemical Sciences and Engineering Division invites you to apply to a postdoctoral appointee opening. The successful candidate will perform research in the Interfacial Processes Group
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series. Apply tissue imaging methods to visualize in vivo gene expression patterns in specific tissues. Work with non-model organism data and tissue. Collaborate with a multidisciplinary team to synthesize
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, writing, and presentations Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related field who possesses a strong laboratory background and communication skills. Preferred
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-threatening infection of heart valves. The postdoc would lead an investigation of bacteria-blood cell interactions using flow cytometry, imaging flow cytometry and gene expression analysis with nanostring
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qualifications include: Experience with radio interferometric observing, data processing, and imaging. Experience with modern machine learning / deep learning techniques and software packages. Experience with time