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Field
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adverse cardiac remodeling, including hypertrophy, fibrosis, and inflammation, and assess cardiac function in mouse models of heart failure using: Molecular biology techniques (RNA/protein extraction, RT
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machine translation relying on state-of-the-art deep neural models and architectures (LLMs). The work is to be carried out in the context of the Horizon Europe project IDEAL (Inclusive Democratic Engagement
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. Skills in modelling and analysis using machine learning tools. Experience in environmental and economic assessment and in feasibility and replicability studies. Scientific production (Q1) and technical
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phenomenology in the Standard Model and beyond (including collider, flavour, Higgs and neutrino physics), QCD and strong interactions, lattice QCD, effective field theories in hadron and nuclear physics
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the social and environmental implications of proximity models, combining spatial, mobility and socioeconomic data to develop indicators and tools for the toolkit. The candidate will also assume coordination
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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sustainability of biomaterial manufacturing through safe design methods, machine learning, and predictive life cycle assessment as well as developing machine learning and hybrid digital modeling methods, combining
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Experience in advanced statistical analysis models Experience working with large imaging datasets Experience in advanced MRI sequence and analysis Ability to work well in a multidisciplinary team
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Infrastructure? No Offer Description Research line: Learning in single cells through dynamical internal representations. Job description: Develop theory, models and algorithms for identifying molecular encodings
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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: AI4LSQUANT aims to accelerate quantum modelling by learning fast, accurate surrogates