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visit: https://oregonstate.edu/about Locations: Oregon State has a statewide presence with campuses in Corvallis and Bend, the OSU Portland Center and the Hatfield Marine Science Center on the
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when they are comparable to sensor noise? How can full-field uncertainty be modelled and propagated to support large-scale change analysis? Approach: You will combine advanced robotic localisation
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, visualize, and distribute geodata, collaborate on AI/ML toolkit development, and/or support sensor deployment. This is one of several funded positions that will grow the EES faculty in the next few years
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involves advanced instrumentation, detector or sensor development, electronics, photonics, or related technologies and who see opportunities to build upon SMU’s established experimental infrastructure
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
integration, and sensor calibration in biological or complex media is highly desirable. Candidates with experience in time-series machine learning, advanced data analytics, and programming (Python) are
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explores consumer and workforce adoption of sensor technologies from a human- centred perspective using social research methodologies . Working collaboratively with multidisciplinary researchers
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. To learn more about Merit Network, please visit our website: https://www.merit.edu/ In this Community Engagement Manager role, you will help Merit identify and develop new opportunities at the
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 1 month ago
project is a collaboration between the Molecular Biosensing and the Protein Engineering research groups at TU/e (see www.tue.nl/mbx and https://merkxlab.nl/ ). Their fields of expertise on continuous
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detected when they are comparable to sensor noise? How can full-field uncertainty be modelled and propagated to support large-scale change analysis? Approach: You will combine advanced robotic localisation
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, quantify ecosystem services, and develop approaches for their monitoring, restoration and management. You will integrate field observations, sensor networks, geospatial information and Earth observation