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comparison between Arabidopsis wild-type and DNA Damage Response mutants, in control and heat stress conditions as a model system for testing of existing algorithms. In the case new phenotypical traits will
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Continuous communication with the scientists & users to understand the problem to be solved Informal algorithm specifications and requirements engineering with internal & external stakeholders Engagement in
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, machine learning algorithms, complex systems and AI-powered risk assessment models for zero-carbon fuels and for hydrogen production, distribution/delivery, and use, also extended to new materials
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: Predictive modelling and process optimization, machine learning algorithms, complex systems and AI-powered risk assessment models for zero-carbon fuels and for hydrogen production, distribution/delivery, and