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an interdisciplinary, international research environment spanning ecology, remote sensing, socio-ecological systems, and climate adaptation. The researcher will work within a dynamic team committed to collaborative
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at the Radboudumc, Radboud University and Donders Graduate School. finalize the project with a PhD thesis. Where to apply Website https://www.academictransfer.com/en/jobs/356184/phd-candidate-digital-biomarker
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, you will be an active member of our Simulation and Data Lab for AI and Machine Learning in Remote Sensing, which aims to strengthen interdisciplinary research and operational services by bridging
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, including statistical methods and/or machine learning (preferred ) · Hands-on experience in image processing, remote sensing data, OpenStreetMap and/or SUMO traffic simulator (preferred
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sensing and ecology. The successful candidate should have: Required: A PhD degree with a publication record in peer-reviewed international journals Experience with remote sensing, LiDAR, or GIS applications
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for remote working. Eligibility criteria The candidates must provide a document issued by the doctoral school they have been enrolled to, certifying the PhD candidate status. The candidates have to prove the
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Your Job: In this position, you will be an active member of our Simulation and Data Lab for AI and Machine Learning in Remote Sensing, which aims to strengthen interdisciplinary research and
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sensing and ecology. The successful candidate should have: Required: A PhD degree with a publication record in peer-reviewed international journals Experience with remote sensing, LiDAR, or GIS applications
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. This PhD project will investigate the interactions between wildfire disturbance and thermokarst dynamics across Siberia and other Arctic regions using multi-sensor satellite remote sensing data provided by
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, see also our page about our diversity policy . Acquisition is not appreciated. Where to apply Website https://werkenbij.rug.nl/vacature/phd-position-island-entrepreneurship-1337/?la… Requirements