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3 Fully Funded PhD Students positions!📍 Remote Sensing Laboratory, McMaster University, Hamilton, Ontario, Canada🗓 Start Date: Spring or Fall 2026The Remote Sensing Laboratory at McMaster
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, remote sensing observations, and prediction and valuation of forest functions, providing a holistic view on forests as complex systems. See the project website to find out more about the FORFUS doctoral
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this centre, we are opening a PhD position on remote sensing of mountain forest dynamics. The Technical University of Munich (TUM) is one of the leading universities globally. At the TUM School of Life Sciences
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organization. We invite applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on crop modeling, remote sensing, and computer vision to predict
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the supervision of Dr. Robert Froese. This PhD student will address the DIVERSE project theme focused on the assessment and mapping of functional diversity and redundancy at the national scale, using remote sensing
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, electrical engineering, computer science, physics, meteorology, or related fields. A strong interest in solar energy and the urban environment is essential, combined with solid skills in remote sensing, signal
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under different climate and nutrient input scenarios. Within IOW, the PhD candidate will collaborate with IOW’s Department of Marine Observations Integrated Optical Remote Sensing Research Group
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? What observational facilities and methods will allow investigation of bodies beyond the Solar System, the remote sensing of their atmospheres and the search for signatures of geological and biological
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, Skills & Abilities Proficiency with Google Earth Engine, ArcGIS Pro, RStudio Preferred Qualifications PhD in marine ecology/remote sensing Applicant instructions: Applicants should be prepared to upload
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on characterizing forest structure and biodiversity via Unsplash Professional qualifications (required) Master’s degree in machine learning, computer science, or a forest-related field with a focus on remote sensing