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of English language. Programming skills and/or experience with statistical software (especially R and Python) and remote sensing of the environment are considered an advantage, as is previous experience in
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large, multi-institution, project to advance the remote sensing of freshwater resources. The research will be conducted at the Environmental Remote Sensing Laboratory, under the direction of Dr. Hongxing
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d) Your tasks: Support in processing satellite and UAV remote sensing data on cloud platforms Adaptation and optimization
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Work Hours: Monday - Friday 8:00 am - 5:00 pm; Flexibility is required as the schedule is subject to change based on department needs Remote Eligible: This position is not eligible for remote work
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to support research on improving evapotranspiration and ecosystem stress estimates across diverse ecosystems. We are seeking an experienced Senior Scientist with deep expertise in thermal remote sensing and
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between climate, hydrology, sediment, and ecosystem systems. The successful candidate will integrate modelling, remote sensing, and AI-based analytics to evaluate regional climate risks and support science
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of aerosol characterisation using the synergy between remote sensing and in-situ methodologies. The successful candidate will mainly focus on mineral dust and on the Eastern Mediterranean and Middle East (EMME
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This position has been deemed critical by the School of Humanities & Sciences Dean's Office and is exempt from the hiring freeze. Web Developer 2 - Hybrid or Remote The School of Humanities and Sciences (H&S) is
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developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and
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combining wave modelling, field observations, remote sensing, advanced mathematical methods and AI, the research will quantify spatial patterns of wave set-up, its statistical distributions and co-occurrence