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microscopy, and image analysis is strongly preferred. Experience with molecular biology and biochemistry techniques such as DNA/RNA extraction, PCR, cloning, protein extraction, and Western blot. ● Experience
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circuits that regulate motivational and emotional states. The lab uses many state-of-the-art techniques, including deep-brain calcium imaging (2-photon in vivo microscopy) with single-cell resolution and
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on these instruments. The focus areas include nano-imaging, nano-analysis, and in-situ process control for nano-fabrication. AINA’s multi-disciplinary team of experts in charged particle optics, mechanical engineers
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of bioinformaticians, computer scientists, biotechnologists, biologists, and biochemists. The successful candidate will also enjoy an environment aimed to facilitate progress in the research career: networking, student
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-EELS, STEM-EDS, electron diffraction, and 4D STEM, is essential. Experience with in situ gas phase TEM and low-dose imaging. Experience synthesizing polysiloxanes, processing thin polymer films, and
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analysis, animal models of airway and brain disorders, single-cell RNA-seq, multiplex cytokine assays, and immunofluorescence imaging. Assist in the establishment of performance standards, the selection
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will also be considered. Certifications/Licenses Required Knowledge, Skills, and Abilities Prior experience with cell culture, biochemistry, and cell imaging techniques. Must be able to work with rodent
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-of-the-art ground materials test facility tailored for hypersonic applications. Oversee the technical operation, training and usage of manufacturing equipment at ERAU for this project including
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Diseases (NIAID ) National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS ) National Institute of Biomedical Imaging and Bioengineering (NIBIB ) National Institute on Deafness and Other
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC