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activity. All the data will be compared with drone thermal measurements of the fire, coordinated with collaborators focusing on the remote sensing aspect of the project, and aim to scale estimates
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approaches to analysing LiDAR and vision data in forest imaging and remote sensing. The role is part of a three-year project with SCION in New Zealand bringing together researchers in robotic perception
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activity. All the data will be compared with drone thermal measurements of the fire, coordinated with collaborators focusing on the remote sensing aspect of the project, and aim to scale estimates
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, mathematical population ecology models, and multivariate analysis expert knowledge of GIS and experience with using remote sensing products quantitative ecology training that complements and enriches the RivEM’s
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satellite remote sensing datasets, including novel NASA MiDAR and fluid lensing datasets. Applicant will have a strong background in convolutional neural networks (CNNs), data labeling and training, and is
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, Geoscience and Engineering, Geoscience and Remote Sensing, Transport &; Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil Engineering & Geosciences
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qualifications PhD within forest sciences or statistics. Competence in forestry and model-based inference for forest inventory applications. Competence in DA. Experience in use of remotely sensed data for forest
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Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport &; Planning, Hydraulic Engineering and Water Management. Clickhere to go to the website of the Faculty of Civil Engineering
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). Collaborative interdisciplinary research and training are hallmarks of the SGDP. [AB1] The ADHD Remote Technology (ART) research programme, led by Professors Jonna Kuntsi and Richard Dobson, focuses
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motivated post-doc to work on the development and application of state-of-the-art approaches to detect changes in biodiversity from remote sensing data and standardised or citizen science datasets (e.g. GBIF