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research questions on geo-biosphere interactions based on geoscientific measurements, (2) research on geo-biosphere interactions on the basis of rocks and/or terrestrial sediments, (3) process monitoring and
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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PhD: Semantic Modelling of Geodata Sources and Geo-analytical Workflows Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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/jobs/354810/phd-position-environmental-asse… Requirements Specific Requirements We seek a highly motivated PhD candidate having: a master’s degree in Geo-Information Science, Physical Geography, Remote
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Dr Marc Russwurm. Your qualities We seek a highly motivated PhD candidate having: a master’s degree in Geo-Information Science, Physical Geography, Remote Sensing, Applied Mathematics, Statistics or a
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applications which is hindered by the lack of a molecular understanding of their formation process. This is particularly true for zeolite synthesis which is characterized by a very complex reaction network in
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Boreal forest recovery after clear-cut: We are looking for a highly motivated PhD student to collect data on and model hydro(geo)logy and greenhouse gas exchanges of boreal forests after
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processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth observation data. Our team aims at tackling societal grand
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serve as a co-investigator in research on prebiotic (geo) chemistry and the origins of life. This position is part of an interdisciplinary environment that integrates geosciences, chemistry, and physics
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data and models is an advantage Experience in geo- or paleomagnetism is an asset What we offer: Ambitious and varied tasks in a dynamic and international research environment State-of-the-art equipment