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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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of multi-connectivity (MC) frameworks for multi-orbit satellite systems (e.g., GEO-MEO-LEO) Develop, optimize, and experimentally validate MC-based reliability solutions for multi-orbit systems compared
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, the position holder will be required to perform the following tasks: Contribute to the design and performance evaluation of multi-connectivity (MC) frameworks for multi-orbit satellite systems (e.g., GEO-MEO-LEO
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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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LEO, MEO, and GEO constellations), and complementary on-board sensors. Research will investigate algorithms for robust multi-sensor fusion and positioning assurance. A strong emphasis will be placed
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types. Publishing your research in peer-reviewed scientific journal papers and presenting your results at conferences. You will work here The research is embedded within the Laboratory of Geo
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biogeochemical cycling, individual PhD projects can involve aspects of (geo-)microbiology, soil science, atmospheric measurement techniques, atmospheric transport models, terrestrial and atmospheric remote sensing
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the underlying reaction network. Furthermore, it will provide a framework that can be applied to a wide range of formation processes in fields like (geo/bio)chemistry, materials science and medicine. You perform
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… Requirements Specific Requirements An MSc degree related to geo-informatics, computer science or robotics. Prior experience in computer vision and deep/reinforcement learning. Very good programming skills
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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