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, aquatic biology or geographic information systems and remote sensing is welcome. The successful applicant is expected to establish and maintain a vibrant, world-class research program that will attract
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information. We?ll also cover theory behind leading sensing technologies and data acquisition systems. Large-scale wireless sensor networks will be covered, and we?ll talk about data can be transmitted
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 30 days ago
research topic: A state of the art, bibliography, and scientific references are available at the following URL—feel free to consult it: https://chercheurs.lille.inria.fr/ccances/Documents
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experience with data analysis tools such as Matlab/Python/R. Experience with GNSS receivers, observables, GNSS-reflectometry or remote sensing topics. Readiness in assisting in field campaigns measuring snow
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remote role. Nature & Purpose of Position/Usual Duties: Manages and coordinates day-to-day and long-term programmatic processes, including program planning, development, implementation, and evaluation
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or orbital remote sensing. Individuals who apply remote sensing techniques to the study of ongoing tectonic processes such as earthquakes, volcanoes, and associated hazards on societally relevant timescales
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supervision of Dr. Narendra N. Das and will be associated with the Remote Sensing in Hydrology and Agriculture Laboratory (RSHAL). They will receive annual appointments for an expected three-year term
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archaeology with specific experience conducting submerged high-resolution geophysical surveys and remote sensing analysis and interpretation and Section 106 review and compliance. Report writing and editing
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that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a
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solutions. To this end, the position combines hydro-economic modeling, remote sensing data, and scenario simulations. The PhD project entails extending an existing hydro-economic multi-agent model with high