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Postdoctoral Fellow Advancing Nature-Based Carbon Accounting in Eastern US Forests via Machine Learning and Remote Sensing O’Neill School of Public and Environmental Affairs Bloomington, Indiana Indiana
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the areas of video analytics for remote pilotage, video compression, advanced sensing techniques, sensor and operation data fusion, data analytics and machine learning algorithms. The primary responsibility
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knowledge of these areas of research is essential, and a strong background in remote monitoring in epilepsy is expected. It is essential the role holder has completed training in neurology and is working
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comprehensive understanding of aerosol-cloud-interactions. This will be achieved by using a state-of-the-art modelling framework with extensive, systematic, and simultaneous in situ and remote sensing airborne
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of good quality remote sensing data. • Perform hydrodynamics simulations using numerical models for vast coastal area. • Develop original software for data fusion and output visualization
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well as coordinating and managing field data collection, supervision of laboratory teams, data management and analysis, and publication of scientific articles. The post will involve remote supervision of laboratory
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, Assoc. Prof. Sonny Rosenthal, Asst. Prof. Yong Ming Lee, Prof. Ute Meta Bauer, and Assoc. Prof. Laura Miotto Cross Cutting Theme 2: Satellite remote sensing This theme will map and monitor the impact and
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Job Description We are developing innovative RF and microwave systems for communication and remote sensing using RF and microwave components and system-on-chip (RFSoC). As part of this project, we
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/programming languages will be preferred: - Extreme value analysis - Land surface modeling and/or remote sensing; Water resources management; Crop modeling - Data analysis tools such as MATLAB - Programming
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statistical analysis of rip current incidents and met-ocean forcing data. You will also develop innovative methods to identify rip hazard hot spots through remote sensing and machine learning, and you will