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Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI
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archaeologists to understand AI results – Generalization and transferability analyses, considering domain adaptation and transfer learning strategies to ensure model robustness across different geographic regions
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. The goal of this PhD Thesis is to bridge these dimensions, moving beyond rigid profiles to develop adaptive, context-sensitive persona models. By integrating deep profile characteristics with real-time
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edge devices in distributed and collaborative IoT scenarios; ii) strategies for efficient and adaptive learning on-device or across a network of heterogeneous nodes while minimizing energy consumption
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, and a Continuum+K3 GIF. The group will also further data analysis using and developing software routines for analysis of large datasets. Research projects span beam-sensitive materials with
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of the software and its configurations. This project will investigate novel techniques for the application of formal methods to the design, verification, and validation of embedded systems, with particular emphasis
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-twin concepts, and programming (e.g. Python, MATLAB, LabVIEW or similar engineering software) B.4 Strong interest in metrology B.5 Experience in working with experimental setups, laboratory equipment
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immunostainer, Leica AT2 and Leica CS2 Slide Scanners, for Whole Slide Imaging, Zeiss Axio Imager 2 microscope equipped with Apotome.2 structured illumination and HALO (Indica Labs) software for advanced image