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benefit both Indigenous communities and the environment. The fellow will apply their expertise in spatial analysis, remote sensing and geospatial modelling to support healthy Land and Sea Country management
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
, 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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, 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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knowledge about site-selection, restoration method development, monitoring and quantification of ecosystem services. Skills in GIS and remote sensing (drones or side-scan sonar) are an advantage. You hold a
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. Cookie yt-remote-device-id Duration Never Expires Description YouTube sets this cookie to store the user's video preferences using embedded YouTube videos. Cookie yt-remote-connected-devices Duration Never
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life sciences, or with an MD and an appropriate skill set. High level of motivation and work ethic. Strong sense of integrity, ownership, and accountability. Effective written and oral
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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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through the PDAF Work with the PI and other Postdoc in SI/3D to improve the quality and suitability of remotely-sensed sea ice products for model-data assimilation Test the assimilation of ITDs, freeboard
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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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developed through the USFS Fire and Aviation Management-led Interagency Wildland Fire Air Quality Response Program. They will gain experience with complex datasets from surface observational systems, remote