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this framework, we are looking for a motivated PhD researcher who will work across KU Leuven and the University of Essex, at the interface of urban ecology, remote sensing, environmental epidemiology and data
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sciences » Forest sciencesEducation LevelBachelor Degree or equivalent Skills/Qualifications University graduate with experience in Geographic Information Systems and Remote Sensing. Specific Requirements
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, including collection and analysis of laboratory and remotely sensed hyperspectral data; geological ground-truth measurements; development and testing of novel sensor equipment; and integration with other data
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 4 days ago
the surface properties of the Asal-Ghoubbet rift by massive inversion of the Hapke model on Pleiades multiangular images. Remote Sensing of Environment 322, 114691. https://doi.org/10.1016/j.rse
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Position overview Position title: Algal Bloom Modeling & Remote Sensing Project Scientist Salary range: Commensurate with qualifications and experience. The posted UCSC Salary Scales set the
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quantum dot films engineered at the atomic as well as at the supra-nanocrystalline level to address applications related to safety and security, remote sensing, environmental monitoring, thermal imaging etc
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
related to forest health monitoring using remote sensing and GIS (20%) Conducting novel geospatial analyses (50%) Documenting methods and results (20%) Working with collaborators and stakeholders to define
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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environment to support agricultural decision making with advanced remote sensing and geospatial technologies. Responsibilities: Develops advanced Agro-geoinformatic algorithms for monitoring and predicting
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in