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center covering the full spectrum of Oral and Craniomaxillofacial Surgery. Your position Program Profile Fellows will be integrated into the clinical and technical environment of the Department of
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machine intelligence, core areas of computer science that are increasingly unified by the central role of data. The new professor will contribute to the department's vision of Trustworthy and
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modelling satellite imagery and textual conflict data. Advances in vision-language representation learning will be explored to link the two sources of information through alignment pipelines, localisation
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. Technical Skills Proficiency in remote sensing (satellite image processing, GIS, photogrammetry); Programming skills for geospatial analysis: Python (rasterio, geopandas, scikit-learn) or R
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Position Description The Department of Anthropology and Sociology at the Geneva Graduate Institute invites applications for a 2-year postdoctoral position (70%) within the ERC Starting Grant project ICONS: Exploring Global Iconoclastic Politics in the 21st Century. ICONS is a comparative...
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nonlinear imaging techniques to study, characterize and image water in different configuration. Introduction Water is the liquid of life. It is intimately linked to our well-being. Without water, cell
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, environmental sciences or a related field, obtained (or close to completion) at the time of appointment. Solid experience in remote sensing and satellite image processing (Sentinel-2, MODIS, Landsat
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infrastructure The lab offers access to state-of-the-art experimental facilities, including large-scale structural testing systems (e.g., Panel Element Tester) and advanced instrumentation (e.g., Digital Image
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Mission We are offering a full-time (100%) PhD position at ENAC at EPFL, Lausanne, Switzerland, within the Plant Ecology Research Laboratory (PERL): https://www.epfl.ch/labs/perl/ The PhD project
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will address how agents fuse heterogeneous sensory streams, including vision, LiDAR, inertial measurements, and radio signals, to maintain coherent spatial awareness and act reliably under uncertainty