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platform for innovative materials by combining advanced experimental techniques, physics-based mesoscopic modeling, and artificial intelligence. Within this context, high-throughput experiments will provide
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in Manufacturing Organizations Using Hybrid Models Main ideas of the proposed dissertation topic: The doctoral thesis centers on enhancing the efficiency of manufacturing systems by strategically
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for: Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data Development of AI-based models for personalized risk assessment Validation and application of model performance using established
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using the model iLand. The work is embedded in the BETA-FOR project (https://www.uni-wuerzburg.de/for5375/) and will collaborate closely with the Forest Economics and Sustainable Land-use Planning group
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innovations in healthcare. Here, you become part of an international, collaborative, and forward-thinking academic community. 2 PhD Positions in Next-Generation In Vitro Models of Musculoskeletal Tissues
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the MediTwin project, which aims at advancing patient-specific digital twins for medical applications by combining physics-based modeling, data assimilation,and efficient computational pipelines (https://www
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in ancient forests of Wallonia. The PhD position at the University of Namur will focus on the modelling and integration components of the project. The successful candidate will use empirical data from
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the implications for forest ecosystem service supply. The main methodological approach applied will be forest landscape simulation modelling using the model iLand. The work is embedded in the BETA-FOR project (https
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» Modelling tools Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Application Deadline 29 May 2026 - 23:59 (UTC) Country Belgium Type of Contract To be defined Job Status Full
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hidden patterns from them? Do you enjoy exploring mathematical models and working with network data? Join our team! Job description Complex systems are often modeled with networks, structures where