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, or technical information Experience working with environmental or geospatial datasets, including remote sensing, flux tower or micrometeorological data, weather or climate data, or hydrologic
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Department of Marine Systems. Applicants should fulfil the following requirements: A master’s degree in Natural Sciences or Engineering, preferably in oceanography, physics, geophysics, remote sensing
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Intelligence within the field of Agriculture/ Remote sensing (not limited). The successful candidate will join a dynamic, multidisciplinary team and have the opportunity to contribute to various cutting-edge
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Exploitation Group at KAUST. The focus of the position will be on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological
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their societal implications, supported by approaches such as GIS, remote sensing, and environmental modelling. The post offers an opportunity to strengthen the School's geoscience capacity and contribute
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interesting field. Your Job In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by
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remote sensing and modeling of the cryosphere Apply for this job See advertisement About the position We invite applications for a Postdoctoral Research Fellow position in remote sensing and modeling of
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of science Years of Research Experience None Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of
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to our team! Where to apply Website https://iventajobdata.eu/bestmedia/img/2484901/1992783/cl/3e861cfd38fb91a960188… Requirements Specific Requirements Your personal sphere of play: As a PhD student
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the context of remote sensing to support these and other future Agroscope tasks. Funding category: Financement public/privé PHD title: PhD Decision Support for Agricultural Water Management PHD