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intelligence models https://www.upv.es/entidades/SRH/conypi/A1280158.pdf Where to apply Website https://sede.upv.es/oficina_tactica/?idioma=en#/inicio Requirements Research FieldEngineering » Biomedical
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of predictive models, multimodal data integration, development of explainable AI algorithms, analysis of clinical, biological and imaging data, and implementation of software tools supporting biomedical research
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and voltage-related tasks, to learn and predict voltages, branch flows/loadings, distribution factors and technical violations, and use the model as a fast surrogate within the hosting-capacity
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of the system, including laboratory testing and/or in situ monitoring campaigns. •Proposing predictive maintenance strategies based on the collected data and developed models, w ith the aim of optimising
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into these models. · Work with wet-lab biologists to design and implement appropriate experiments for collaborative work on model training, validation, and follow-up testing of predictions. · Explore
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Maritime Ltd and the University of Southampton. Find out more about Knowledge Transfer Partnerships here: https://www.ktp-uk.org/ Compute Maritime Ltd is a London-based deep-tech company bringing
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models or prediction equations, stochastic simulation, site-response analysis, or probabilistic seismic hazard assessment Demonstrated experience in processing and quality-assuring strong-motion datasets
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-based reasoning. The goal is to move beyond isolated prediction models towards an integrated agentic system that can model patient trajectories, compare treatment strategies and generate transparent
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Danfoss, you will combine thermofluid modelling, reduced-order multiphysics methods, and nonlinear rotor dynamics analysis to develop predictive modelling tools that support the industrial design of
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, to develop solutions for predicting risk in international-scale financial markets. The project is developing event-triggered artificial intelligence approaches that complement existing financial risk models