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multitasked machine learning (MTL) framework for enzyme design. The work will also include improvement of the design with AI protein prediction followed by enhanced sampling simulations. Qualifications
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runtime monitoring for systems exhibiting non-deterministic or adaptive behaviour - Testing and Assurance of Machine Learning and Generative AI Components - robustness and reliability testing
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machine-learning methods with uncertainty estimation and validate the results using systematic biodiversity observation networks, spatial cross-validation, and independent national and regional
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Biodiversity Variables and combining these with environmental and biodiversity data to produce pan-European species distribution and habitat maps. You will apply machine-learning methods with
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contexts. Research is conducted in fields such as gender and discrimination, AI and machine learning, children's rights, welfare, legal cultures, corruption, migration, financial security and crime. The
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conducted in fields such as gender and discrimination, AI and machine learning, children's rights, welfare, legal cultures, corruption, migration, financial security and crime. The department offers
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gender and discrimination, AI and machine learning, children's rights, welfare, legal cultures, corruption, migration, financial security and crime. The department offers courses at all levels. The
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emergence of norms in civil society, among other contexts. Research is conducted in fields such as gender and discrimination, AI and machine learning, children's rights, welfare, legal cultures, corruption
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evolving kinetic regimes. The work will combine experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process
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management, data analysis and data visualisation of data from clinical studies and registries using Python/R, with methods such as machine learning and network meta-analysis. Eligibility The