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pollution within and across the Arizona urban corridor. The postdoctoral researcher will engage in field work to collect unique weather observations using the CMAS mobile observatory trucks
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an interdisciplinary collaborative setting. The successful candidate should be proficient in programing languages, such as Python. Image processing expertise will be a big plus. Posting Date Closing Date Open Until
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Postdoctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies
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protected and open field cultivation systems Use lab and field equipment (ICP, HPLC, gas exchange analyzer, soil/root/plant sensors, chlorophyll fluorescence, etc.), data loggers and image processing tools
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
language processing, computer vision, medical image analysis, or a related area. Required Qualifications, Competencies, and Experience Demonstrated strong communication, teamwork, and leadership skills. Strong
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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Position Summary Postdoctoral positions are available in the laboratory of Dr. Rui Tang studying small cell lung cancer metastasis. The Tang lab applies a combination of cell/molecular biology
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equity. Pay Range: 73,800-80,000 The Fang Lab of Neurogenomics (fanglabstanford.org (link is external) ) at the Wu Tsai Neurosciences Institute, Stanford University, is seeking postdoctoral fellows to join
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and cannabinoids, combining molecular neuroscience, genetics, electroencephalography, imaging, and psychopharmacology. We are deeply committed to training the next generation of scientists and
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Routine mammalian cell culture, transfection using sterile techniques. Preferred qualifications: • Immunofluorescence microscopy: sample preparation, immunofluorescent microscopy experience, image analysis