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                environments. The network emphasizes innovation through the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with 
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                microbial DNA/RNA 16S and ITS sequencing analyses. The PhD will be collaborating closely to the other PhD student hired within FutureForests, focusing on biogeochemical and ecophysiological processes. The PhD 
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                “Electromagnetic models for spherical-wavefront U-MIMO THz communications”. Develop electromagnetic models for large antenna arrays with spherical wavefronts. Focus on deriving analytical models and channel limits 
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                contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative 
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                cellular membrane models including blood. This PhD project aims to enhance the knowledge on the biocompatible Ti based alloys composition and synthesis with advanced techniques and measure their properties 
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                response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design platforms. Furthermore, REUNATECH 
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                resolution may take advantage of modelling. Suggest possible strategies to achieve fundamental knowledge and rational design. Planned secondment(s): 1) M10 / Duration 3 months / CNR Pisa (Italy) (supervisor 
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                Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design 
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                the present call for applications. Research project personally signed and describing the topic of study, the planned methodologies and the project objectives (see Research Project Model in Annex D 
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                including secondments at partner universities and companies. Our broad range of diverse work-time models offers great flexibility – also when working from home. If you have family members or young children in