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two PhD student positions to carry out research with the Signal Processing group in the area of next generation space-terrestrial wireless communications and sensing. We are looking for ambitious and
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concrete or similar materials. English proficiency as specified at https://www.tudelft.nl/onderwijs/opleidingen/phd/admission . Nice to have: Demonstrable experience with writing scientific publications
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researcher with: A PhD in machine learning, computer vision, remote sensing, glaciology, climate science, or a related field Strong programming skills (Python) and experience with deep learning frameworks (e.g
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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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hazards and assessing their risk for the society. At the same time, they are fully qualified users of remote sensing, GIS and statistictical software techniques that can be applied to geoscience and
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transfer. Fire observation systems. Interpretation of remote sensing data. Feather characterization. Modeling and automation of workflows. Robust processing of field measurements. Professional Experience
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to train tomorrows leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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: Completed doctoral/PhD studies in ecology or a related field Research competence and initiative proven through international publications in relevant journals Advanced statistical skills and experience with
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of Sentinel-2 fluvial scenes’. Earth Surf. Process. Landforms, 45, 3120–3140. Carbonneau et al 2020) ‘Adopting deep learning methods for airborne RGB fluvial scene classification’. Remote Sensing of Environment
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Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and