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University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC) | Spain | 2 months ago
Computational Modeling for the Discovery and Characterization of New Metalloenzyme-catalyzed Reactions” Computational Bioinorganics: From Description to Prediction, John Wiley & Sons https://doi.org/10.1002
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. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling, and post hoc support for laboratory studies and
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics) • Multi-omics for non-cancer health screening applications, • Machine learning modelling
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University is looking for a PhD student to work on the project “On the implementation of ensemble feature selection and its application to stock market prediction”. The position is part of a research project
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the proposed stochastic modelling framework. By capturing uncertainty and variability more rigorously, the project aims to significantly improve the predictive accuracy of models used to assess structural
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is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict
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objective prediction of biological aging, but also the improvement of age-related phenotypes such as cognitive decline, muscle weakness, bone density loss, and kidney dysfunction. Our research is particularly
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us plan daily activities and prepare for extreme events. Today, most forecasts rely on powerful computer models that simulate the atmosphere using the laws of physics. These models are accurate but
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supervision of Doctor Anabela Borges. Grant duration: Initial duration of 6 months, with the predicted starting date in September 2026, on an exclusive basis, eventually renewable but never exceeding
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patients develop a durable response. Many researchers are investing efforts to understand the complexity of anti-cancer immunity and develop diagnostic approaches that accurately predict therapy benefit and