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next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety
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teams. Unit URL https://imci.uidaho.edu/ Position Qualifications Required Experience Experience with statistical or predictive modeling as demonstrated by publications in the field Evidence of strong
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the most active pre-main-sequence end of the cool star sequence, where the stellar environment is most extreme and the atmospheric consequences most dramatic, we build towards a unified predictive model
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for physics-based prediction of ionospheric potential response to solar wind variations. Earth Planets Space 75, 139 (2023). https://doi.org/10.1186/s40623-023-01896-3 4. Cochrane, C. J. et al. Single- and
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puzzling, as classical models predict progressive cooling during slab descent. Alternative scenarios include localized back-arc closure, transient or aborted subduction initiation, or distributed intra-arc
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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems
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, nuclear waste), (ii) predict its behaviour for accidental contaminations, and (iii) offer relevant solutions of remediation. Reliable tools to model the transport of the interested fluids are therefore
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breed x system interactions. Including e.g. milk-based parameters according to other WPs, production system specific early prediction models for the control of endoparasites will be developed
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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understand the epidemiology of IBD, including how risk evolves over time and which factors influence IBD risk, such as medication use and comorbidities. The work will also involve prediction modeling and