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Field
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: Prior experience with analysis of observational remote sensing data sets and/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with
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multitude of applications. As part of the project you will work in collaboration with the Geoinformatics team in RIKEN centre to customize the developed tool for remote sensing applications. The goal from
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increasing disturbances, such as wildfire and climate change. By integrating field research, remote sensing, and operational forestry insights, this project will generate data-driven tools and practical
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system Fluent oral and written communication skills in English and ideally also a Scandinavian language. Desired qualifications: Prior experience with analysis of observational remote sensing data sets and
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countries in Southeast Asia, that are supported by the EOS Centre for Geohazard Observations, as well as a Remote Sensing Lab (EOS-RS). Computational resources are available through a dedicated cluster and
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problems in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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personnel as needed for specific methodologies. Prepare manuscripts and oral presentations for dissemination of research findings. Required Qualifications* Wet lab experience with a PhD in a field related to
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for remote sensing and uncertainty estimation. Candidates must have a strong programming background. Requirements: PhD in Computer Science or a related field with a strong emphasis on machine learning
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remote sensing. The research may range from theoretical to applied and involve the use of measurement and/or modeling approaches. This position will also summarize findings and publish research results in
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion