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funded by the Grains Research & Development Corporation (GRDC). The project is led by CSIRO with the University of Sydney leading the component on the assessment of soil health using remote sensing
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cases of next generation wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We're looking for people driven by excellence, excited about
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communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning applications
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
profile Your Scientific Qualifications PhD degree in Biology / Life Sciences / Biotechnology / Biochemistry or related fields Excellent publication record, preferably with at least one first-author
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in the use and exploitation of high spatial and temporal resolution remote sensing data. An interest in causal discovery and inference is more than welcome. The candidate will be required to interact
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seismological data using Music information retrieval separation Locate seismic sources Publish and maintain code Interpret seismological data jointly with volcanological, remote sensing, and modelling data
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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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an interdisciplinary team of scientists. You will join the Geoscience and Remote Sensing Department (GRS), working closely with PhD candidates, postdoctoral researchers, and senior staff. TU Delft provides excellent
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to the deep-sea environment. You will apply a range of methods, including echo sounders, moored sensors, hydrophones, cameras, environmental DNA-analysis and remote sensing, in a balanced study design across
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potentially using a mix of remote sensing, vegetation/habitat data, field data, and camera trap data to model connectivity for large mammal species and/or migratory birds. Expected project outputs will include