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Field
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, modern feedback controls, opto-mechanics, mechanical design, and with a focus on low-frequency gravitational force sensing are desirable. We are looking for candidates who like challenging problems and
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. Proficiency in GIS, remote sensing, and statistical modelling for forest carbon and biodiversity analysis. Experience in conducting socio-ecological research, policy analysis, and stakeholder engagement
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and October 2025. Essential Functions Develop/implement methods using hydrological models, remote sensing, data assimilation, and machine learning techniques to simulate global river discharge Present
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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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in biodiversity assessments and ecosystem service valuation. Proficiency in GIS, remote sensing, and statistical modelling for forest carbon and biodiversity analysis. Experience in conducting socio
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assessments and ecosystem service valuation. Proficiency in GIS, remote sensing, and statistical modelling for forest carbon and biodiversity analysis. Experience in conducting socio-ecological research, policy
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-Edge-Cloud Telecom Network Slicing Reconfigurable Intelligent Surfaces Joint Communication and Sensing Software Defined Networks and Network Virtualisation Network Infrastructure Sharing / Routing
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graduate students. It has research programs in Communications and Signal Processing; Computer Engineering; Lasers, Optics, and Applications; Controls and Robotics; and Electromagnetics and Remote Sensing
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of existing interventions using our proposed tools. The fellow will also be involved in parts of the literature review and data collection. 2. “Using remote sensed variables for program evaluation" (Viviano