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Qualifications ● A PhD in ecology, environmental science, remote sensing, or a related field by the time of appointment. ● Demonstrated experience in applying high-resolution remote sensing to animal
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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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researcher, with experience in Phenology and Remote Sensing and the ability to work collaboratively. Must present a PhD in Ecology, Plant Biology, Conservation, Remote Sensing or related areas, obtained in
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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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are hallmarks of the SGDP. [AB1] The ADHD Remote Technology (ART) research programme, led by Professors Jonna Kuntsi and Richard Dobson, focuses on the development and application of a novel remote measurement
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staff position within a Research Infrastructure? No Offer Description The project aims to apply artificial intelligence (AI) to map agricultural plastic in remote sensing images. The fellow will work
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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
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biomes. We are looking for a highly motivated researcher, with experience in Phenology and Remote Sensing and the ability to work collaboratively. Must present a PhD in Ecology, Plant Biology, Conservation
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focusing on innovations in remote sensing for better measurement of greenhouse gas emissions, which is a collaboration with DTU Electro, manufacturers of laser products, leading providers of gas measurement
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in the context of global sustainability standards. Key Responsibilities: Research and Development: Conduct cutting-edge research that utilizes GIS, remote sensing, and other spatial technologies