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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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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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transcriptomics and single-cell RNA sequencing on patient samples • Mining and analyzing public cancer databases (TCGA, GEO, etc.) and omics data • Inferring TLS formation and maturation stages from
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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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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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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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results in peer-reviewed journals and at national and international conferences We are looking for candidates with a master’s degree in agricultural sciences, geography, environmental sciences, agro-/geo
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, environmental sciences, agro-/geo-/landscape-ecology, soil science or a related field advanced understanding of the mechanisms governing N translocation from soil to crop, including gaseous emissions and
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profile in geo, environmental, energy, and material sciences. In this environment, we are a strongly mathematically oriented research group with a focus on the analysis of various problems in geophysics (in
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) ways in which open societies may strengthen their resistance towards such threats given the geo-political turn in world politics, new balance of power logics, and the reappearance of war and aggression