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methodology and software for Probabilistic Resilience Analysis (PRA) of major hazard plants and nearby communities under NaTech multi-hazard accidents. Define resilience indicators and recovery functions based
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structures. GENIUS will address all three challenges by developing advanced analysis and design tools for energy geostructures (WP-1) and by advancing practical and scientific knowledge for their integration
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/geophysics, or physical acoustics. Applicants from biology or related fields with solid quantitative and programming skills are also welcome. Experience with signal analysis and/or machine learning will be
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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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theories of sign language development and in sign language video analysis. They will also receive training in Italian Sign Language, and in the transcription and analysis of Sign Language data. How to apply
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groundbreaking discoveries and be part of an innovative team! The project involves both wet lab experiments and a significant focus on image analysis Where to apply E-mail simone.dusseljee@radboudumc.nl
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the exploitation of open-source software platform specifically designed for the analysis and interpretation of metaproteomics data Attending a one-month secondment to learn about colon cancer, immunotherapy, dietary
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failures) Develop modelling theories, quantitative methods and methodology as part of the disruption analysis and impact assessment affecting safety and security Apply the methodology to an industrial system
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. Knowledge of programming languages (e.g., Python, MATLAB) and familiarity with software tools for structural analysis (e.g., OpenSees, ANSYS, Midas Gen, SAP2000, ABAQUS). Excellent communication skills in