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Department of Forest Resource Management The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and
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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 the Flagship of Advanced Mathematics for Sensing, Imaging and Modelling (FAME), which provides a collaborative and supportive environment, uniting physicists, engineers, mathematicians, and applied
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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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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | 3 months ago
self-generated data in the field-, and to explore the potential of remote sensing to unlock the relationship between vegetation history and the distribution of ancient economic and settlement remains
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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
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solutions. To this end, the position combines hydro-economic modeling, remote sensing data, and scenario simulations. The PhD project entails extending an existing hydro-economic multi-agent model with high
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really does change the world. For more information about the McCombs School of Business please visit https://www.mccombs.utexas.edu/ Purpose As part of the McCombs School of Business Chief Marketing
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working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped
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supervision of Dr. Narendra N. Das and will be associated with the Remote Sensing in Hydrology and Agriculture Laboratory (RSHAL). They will receive annual appointments for an expected three-year term