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, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in
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, and communicate complex spatial environments? Do you hold a master’s degree in cognitive science, environmental psychology, human-computer interaction, geo-information science, or a related field, with
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will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics. Where to apply Website https://www.academictransfer.com/en/jobs/362722/phd-position
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
, Marc Shapiro, Vianney Rancurel. Merging semantics for conflict updates in geo-distributed file systems. SYSTOR 2015: 10:1-10:12 - Study of literature on CRDTs - Study CRDTs for file systems - Propose a
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concepts, assessing their potential for use at disposal depth and what further validation they would require. You will be primarily embedded in the Geo-Engineering section of the Faculty of Civil Engineering
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. I am also interested in interdisciplinary research with a machine learning foundation. So if you’re interested in projects such as applications of ML in tracking geo-spatial changes (e.g., climate
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, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has
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broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other
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to improve the built environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo
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involve aspects of (geo-)microbiology, soil science, atmospheric measurement techniques, atmospheric transport models, terrestrial and atmospheric remote sensing, model data integration, data mining, land