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Field
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worldwide. Research methodology The researcher will combine existing landslide inventories with new remote sensing observations to build multi-year databases of landslide occurrences and control factors (i.e
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complementarity among cash and service crop species. Experience with crop measurements, remote sensing, data integration, and biostatistical or modelling tools for analysing complex datasets will be considered
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role in shaping the research direction by selecting study regions, refining analytical approaches, and integrating methods across atmospheric science, remote sensing, and epidemiology
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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remote sensing data. Your job As a PhD candidate, you will study how the rapid thinning and loss of sea ice in the Arctic Last Ice Area, north of Greenland and Ellesmere Island, affects surface melt and
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of cultural heritage. Remote sensing, and in particular Synthetic Aperture Radar (SAR), provides valuable insights into vegetation structure, soil roughness, and soil moisture. The Copernicus program of
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Netherlands, and become an all round scientists who uses both models and remote sensing data. Your job As a PhD candidate, you will study how the rapid thinning and loss of sea ice in the Arctic Last Ice Area, north
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: You will conduct research in the field of experimental atmospheric physics, with a focus on optical remote sensing of the atmosphere up to the edge of space (mesosphere and lower thermosphere, MLT
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erosion and subsequent effect on land-to-lake dynamics using isotope tracer and source apportionment methodology at test sites in the Winam Gulf. (2) Explore use of remote sensing data and machine learning
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eligible. The position is partially remote, and the employee must reside in a Duke University-approved state. Be Bold. Position Description: The term of this appointment is limited (up to 5 years with a