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appropriate balance of synergy and complementarity with materials science and engineering research already underway. Alignment with Materials Ageing, Performance, and Lifetime Prediction and a willingness to
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of Robotics and Industrial Informatics (CSIC-UPC) offer a position to work on World Models for Human Behaviour Anticipation https://ramonllull-aira.eu/archivos/theme_field/world-models-for-human-behaviour
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-generation therapeutics and vaccines. Research projects will involve engineering high-throughput library-on-library screening platforms for viral immunology, building AI foundation models to predict viral
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materials databases to be integrated into the NIST-JARVIS (https://jarvis.nist.gov/ ) infrastructure. We work closely with experimental collaborators for validation and focus on releasing software, models
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have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models for Alzheimerâ™s, Parkinson, and Dystonia as well as to identify novel
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models trained on the Year 1 dataset to predict promising compositions. The third year focuses on application and physical metallurgy insights, where the student will apply the refined methodology to a
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analytical approaches and technological tools (e.g., artificial intelligence, remote sensing, environmental informatics, predictive modeling, and/or environmental genomics). Research should address pressing
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the Norwegian Institute for Nature Research (NINA) and partners in 14 countries. For more information, see: https://seatrack.net . This is a fixed termed position for 3 years in our section for terrestrial
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for anisotropic laminae and laminates (e.g., layer-wise / higher-order plate models) to accurately predict stress fields and assess cloaking performance. Build a staggered multi-scale simulation workflow (from
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nuanced bedside observations can meaningfully inform model predictions. The resulting model will be rigorously evaluated using cross-validation and a held-out dataset, and then tested prospectively in a