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with digital twin modelling, remote sensing, and cloud computing is valued, as is a commitment to learning and advancing in these areas. The successful candidate will have the ability to work with large
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, Water Quality, Water Resources Management, Agriculture, Remote Sensing, Electronics, Artificial Intelligence, Computer Science, Civil Engineering (Structure and Geotechnique), Mechanical Engineering, and
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officially awarded their PhD will be appointed as Research Assistant. Expertise in geospatial data analysis, including remote sensing Expertise in cloud physics, preferably cirrus clouds Aircraft performance
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and linear steep sided cut channels, which can restrict creek development and negatively impact site functioning. This project will use remote sensing, geophysical surveying and sedimentological
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sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
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dune datasets along the Dutch coast. Using remote sensing, you will create a national dune vegetation dataset and compare it with dune morphology data to assess the role of vegetation in decadal dune
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remote sensing surveys, material studies, and geoarchaeological and archaeometric sampling. Examples of current fieldwork by the Regato team are available on this webpage: https://www.knir.it/en
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Your job Are you enthusiastic about understanding climate feedback processes in tundra ecosystems? Are you enthusiastic to conduct field- and remote sensing-based monitoring for impactful science
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Job Description We invite applications for a fully funded 3-year PhD position in the Embedded Systems Engineering (ESE) research section at DTU Compute in collaboration with the Technical
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. Background and aims: As we move towards the future of large communication networks and remote sensing, applications such as 6G communications will require higher data rates, wider bandwidth, and stronger