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of responsible human-AI collaboration. The successful candidate will become a member of the Multi-Agent Systems Group, Artificial Intelligence Department and will work under the supervision of Dr. Jakob Schoeffer
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cracking resistance as compared to GI galvanized steel. Furthermore, it is unclear at this moment how these types of coatings will perform in application to the green steel. Therefore, this project is aimed
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archaeological finds. Conducting geospatial analyses in GIS, including work with LiDAR data, aerial imagery, and other remote sensing data. Developing a webGIS platform to host field-collected data, legacy
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, energy-related datasets. Proficiency in Python, MATLAB, and/or Julia for modeling, simulation, and data analysis. Familiarity with GIS tools (e.g. QGIS), time-series databases (e.g. InfluxDB), and version
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become a member of the Multi-Agent Systems Group, Artificial Intelligence Department and will work under the supervision of Dr. Jakob Schoeffer. Where to apply Website https://www.academictransfer.com/en
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Soils. • Knows, or is interested in, working with GIS/spatial data analysis, network analysis or modelling socio-economic structures. We offer an appointment in accordance with the Collective Labour
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://romeijn.web.rug.nl/paper/2023_romeijn_-_VICI_project_description.pdf ), where you can find a detailed list of planned PhD and postdoc positions. Candidates can freely choose their research topic within the domain