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of the University budget model, including annual development of University allocation scenarios, analysis, and proposal of rates. Identifies areas for improvement and recommends strategies for resource optimization
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clonal development. To study these processes, advanced experimental models will be used, including genetically modified animals, iPSC-derived hematopoietic cells, 3D organoids, and in vitro HSC culture
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alternative stable states (bare tidal flats versus developing mangrove forests). The project combines controlled flume experiments, geospatial data analysis and numerical modelling. Experimental work will be
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: System-Level Impact Analysis of IAM using Agent-Based Models Supervisor: Prof. Dr. Regine Gerike, Chair of Mobility System Planning and co-supervised by at least one additional professor
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supervisor: The final report model to be prepared by the fellow is available at the following link: https://ucppt-my.sharepoint.com/:w:/g/personal/ccabral_ucp_pt/ESnbf2LTfxFGj8NsKVEAe3IBi00sddFg238l4P7ziYmXTw
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text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference
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on the integration of BIM, artificial intelligence and predictive maintenance (PM) for intelligent BIM models, digital construction sites, predictive analysis and immersive interactions, outlining an operating
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sector – whose convergence constitutes one of the most promising directions for the sector.The integration of BIM, AI and PM enables solutions such as intelligent BIM models, digital construction sites
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on the populations phenotypic plasticity and/or genetic adaptation. As our model system, we study springtails (Collembola), key terrestrial ectothermic invertebrates of the soil community. The postdoc will be mainly
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: 87392BR Supervises staff involved in providing clinical patient care. Assists in ensuring the quality of patient care delivery in a specific patient care area and serves as a role model for professional