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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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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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secondments at world-class institutions. The proposed research will be on the intersection of the following topics: Energy Harvesting and Intermittent Computing Batteryless Networking Machine Learning
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about biomedical research or cell biology? Ready to make groundbreaking contributions to understanding ciliopathies through innovative machine learning approaches? Join the Cilia-AI consortium, and embark
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multiple-output) for high data rate and reliability, integrates semantic and goal-oriented communication, and leverages physics-informed machine learning. A key innovation will be the development
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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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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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at hosting institution: Alessandro Fortunelli) Goal: acquire experience on specific force fields and ML potential. Use MD to describe ligands conformational flexibility. Acquire practice with resemblance and
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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