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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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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 2 months ago
evaluating temporal changes in A. longifolia populations and for assessing the impact of biological control agents. The work will comprise the application of remote-sensing and geospatial analysis
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experimental and observational studies (e.g. using field, lab, remote sensing data) along environmental gradients to increase understanding of how different types of forest management (e.g. continuous cover
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& Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty
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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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, 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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amplification? 3. How effective are emerging low-cost monitoring techniques (e.g., UAV surveys, citizen science, remote sensing) in detecting and managing sediment retention? By bridging geomorphology
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: Familiarity with career services, employer relations, and professional development programs Other Requirements: This position is hybrid eligible. The position is partially remote, and the employee must reside
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transmission and processing for remote actuation. The proposal targets two interdependent challenges: the inherent complexity of end-to-end information flow spanning sensing, computation, communication, and
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species, and the emergence of previously unseen classes. Recent advances in remote sensing and machine learning provide new opportunities to address these challenges, but most current approaches