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alignments, data acquisition, image processing and structure calculation using a variety of cryo-EM software. The candidate should be comfortable using Linux. Strong written and oral communication skills in
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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, immunofluorescence, DNA/RNA-FISH, AFM, and confocal microscopy imaging, and analysis) – 60% - Protocol standardization, testing novel methodologies, and data analysis – 20% - Collaborating with laboratory members
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processing of social information in patients with psychiatric conditions remain largely unclear. We use a suite of cutting-edge techniques, including in vivo multi-photon imaging, fiber photometry, and custom
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culture, biochemistry, and cell imaging techniques are required. Certifications/Licenses Required Knowledge, Skills, and Abilities Must be able to work with rodent animals and human embryonic cells. Must
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
line of research designed to establish a paradigm shift in our biomechanical understanding and clinical management of age-related mobility impairment toward feasible and cost-effective devices to modify
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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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, 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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-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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have: Expertise in processing optical remote sensing data over large areas and using machine learning models for predicting ecological metrics Strong background in remote sensing in hyperspectral imaging