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environmental sciences; and the NSF-funded consortium Advancing Quality and weather-ready Water Management with Community Partnerships and Enhanced Sensor Network in the area of water and extreme-weather
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State University of New York University at Albany | Albany, New York | United States | about 1 hour ago
that jointly explain behavior and neural dynamics. Expertise in modeling neural data and developing methods to compare biological and artificial neural networks is highly valued. We invite applications from
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ambitious benchmarks for reducing Greenhouse Gas emissions in international shipping, aiming for a 30-40% reduction by 2030, 80-90% by 2040, and achieving net-zero emissions by 2045, all relative to 2008
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system/geographical information system, on-body sensors/accelerometry, surveys, and text messaging. The Center for HOPE has maintained National Institutes of Health, Patient-Centered Outcomes Research
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of sensor systems Minimum Qualifications Full Employment Eligibility Requirements can be found here: https://hr.oregonstate.edu/student-employment-manual/500-employment-eligibility-requirements Must be
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, leading to more devastating extreme events and a greater need for tools for adaptation and planning. A growing wealth of observational data from satellites, sensor networks, foundation models, gridded
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to perceive their environment because this sensor can produce precise depth measurement at a high density. LiDARs measurements are generally sparse, mainly geometric and lacks semantic information. Therefore
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sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment. OCP group (http
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) to determine greenhouse gas and pollutant emissions in cities using atmospheric measurements (MUCCnet: https://atmosphere.ei.tum.de/ ) and in-situ sensor networks in ICOS Cities project (https://www.icos-cp.eu
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Sensing group, https://www.marsens-ugent.be/ ) investigates the vital link between marine ecosystems and ocean carbon cycling using innovative remote sensing and in situ observation technologies. Our