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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Research Unit of Climate and Environmental Remote Sensing
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Scientist / Scientific assistant – Tree species detection using deep-learning Are you an ambitious data scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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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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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
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Funded: No Compensation Details: Starting Pay - $37,900 Work Hours: Monday - Friday 8:00am - 5:00pm Remote Eligible: This position is not eligible for remote work Special Instructions to Applicant: Job
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: No Compensation Details: Starting Pay - $45,900 Work Hours: Monday - Friday 8:00am - 5:00pm Remote Eligible: This position is not eligible for remote work Special Instructions to Applicant: Job Summary: This role
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remote sensing using active sensors. The successful candidate must have a record of publication that demonstrates a process-level understanding of the forces that shape marine cloud microphysics
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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