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Field
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research activities within the USGS network. Required Department Minimum Qualifications: Ph.D. civil engineering, geography, electrical engineering, computer science, geoscience, or related field. Candidates
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of different chemical and biological wearable/implantable/point-of-care sensors using these materials for the high precision detection of biomarkers and physiological parameters, such as proteins, DNA, antigen
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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through field-based surveys, and from ground-based sensors, proximal sensors and UAVs and satellites. These data are often used to drive process models, that ultimately are used to optimise aspects
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to study how dysprosium’s large magnetic interactions can be utilised in future magnetic field sensors and to investigate precursors for novel quantum phases of matter. The project is supported by Quantum
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have expertise in one or more of the following areas: Sustainable building systems or materials science Power system modeling, control systems, or HVAC alternatives IoT and sensor networks in the built
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variety of meteorological and snowpack sensors. Learn to document avalanche activity and environmental conditions using standardized protocols. Data Analysis and Modeling Train to process and analyze
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/functional materials, wearable sensors, flexible circuits and their seamless integration into textiles/apparel; (c) perform physical, chemical, and electrical characterisations on new materials and wearable
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Johns Hopkins Medicine - Laboratory of Human Biomimetics | Saint Petersburg, Florida | United States | about 1 month ago
neurobiology. Relevant experience includes: Pumping mechanisms, valves, fluid handling, and perfusion systems Programmable controllers, sensors, actuators, or microcontrollers Hardware–software integration and
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matter, axions, and gravitational waves, by pioneering the weak coupling frontier through the use of cutting-edge quantum sensors and devices. QUP operates under a distinctive organizational model in which