23 Engineering "South Dakota School of Mines and Technology" research jobs at University of Washington in america
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this program, you are expected to become proficient in the core areas of your research in aerosol science and engineering, as well as teaching and mentoring through participation in diverse research
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Job Description Position Summary The Energy Storage and Conversion Lab at the Department of Mechanical Engineering and Materials Science at Washington University in St. Louis is seeking applications
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Job Description Position Summary We are seeking a passionate scientist to join the YODA Lab, led by Professor William Yeoh, at Washington University in St. Louis. The lab is currently focusing on interdisciplinary approaches to enable human-AI collaboration through human-aware decision-making...
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analysis of corrosion mechanisms. The project will take advantage of state-of-the-art instrumentation at the Institute of Materials Science and Engineering (electron microscopy, X-ray photoelectron
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of excellence include Addictions, Autism, High Risk Youth, Neurosciences, and Trauma, and the Department is developing innovative new programs in Technology and Mental Health, Global Mental Health, Maternal and
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transduction (https://sahlab.wustl.edu ). The laboratory uses electrophysiological (e.g., patch-clamp), imaging techniques, genetic mouse models (including CRISPR/cas9 technology), biochemical, and molecular
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of ultra-early biomarkers for spinal cord injuries to forecast injury severities, with the long-term goal of translating this technology for patient benefit. Exhibit expertise in image analysis, signal
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to addictive behaviors; assessment or intervention using mobile, wireless and/or wearable technology; adaptive intervention designs; cognitive, neurocognitive, or biological mechanisms underlying substance use
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Ultrasound. Core Duties: Apply advanced engineering techniques to rapidly fabricate intracardiac ultrasound ablation catheters, ensuring consistency to allow comparisons of use in large-animal scientific
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medical physics, physics, engineering, computer science or a related field. Strong background in image analysis, image registration and/or image segmentation. Strong background in machine learning