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to demonstrate effective and efficient multi-tasking and maintain accurate and up-to-date records. In addition, the applicants should have a high level of proficiency with computer software related to laboratory
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of collegiality Desirable criteria Extensive experience with confocal microscopy and live imaging Experience with biomechanics concepts and techniques such as AFM, micropipette aspiration and/or nanoindentation
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cytometry, cell biology, metabolic assays, imaging and next generation sequencing to understand the molecular mechanisms involved in the regulation of immune cell function. The researcher (position 1) will
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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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experience with confocal microscopy and live imaging Experience with biomechanics concepts and techniques such as AFM, micropipette aspiration and/or nanoindentation Current Home Office Personal Licence
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, the Biotechnology Resource Center, the University of Minnesota Genomics Center, the Biological Imaging Centers, the University of Minnesota Herbarium of the J. F. Bell Museum of Natural History, Itasca Biological
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 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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preparation for imaging Strong programming experience with C/C++ and the ROOT data analysis framework is required Desired qualifications (can be waived): Understanding of data processing pipelines in nuclear
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remaining. • Strong background in in vivo behavioral assays, electrophysiology, and/or imaging techniques. • Solid publication record in peer-reviewed journals. • Experience with stereotaxic surgery and
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools