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Grant(s) (RG) in the scope of R&D projects FireLSF - Development of predictive models for the fire resistance of light steel frame walls - an integrated experimental, numerical and machine learning
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, administrative databases, clinical studies, and patient networks. - Development of predictive and risk models based on Real World Data. - Ensuring compliance with regulatory standards (EMA, FDA, etc.) in the use
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, Clin Infect Dis 58: 1424–1429. https://doi.org/10.1093/cid/ciu102 Chalghaf B, Chemkhi J, Mayala B et al. (2018). Ecological niche modeling predicting the potential distribution of Leishmania vectors in
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models, simulation frameworks and predictive tools that inform geotechnical design. You will be expected to lead high-quality research programs, attract competitive funding, and translate outcomes through
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. These activities are underpinned by advanced numerical simulation, data-driven methods, and high-performance computing, enabling high-fidelity analysis and predictive modelling of next-generation energy systems
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biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease. Implement machine learning models to improve
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innovations in academic advising technology, predictive analytics, and student success models. Requirements: Bachelor's degree Minimum 2 years of experience in academic advising, student success, or CRM systems
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innovations in academic advising technology, predictive analytics, and student success models. Requirements: Bachelor's degree Minimum 2 years of experience in academic advising, student success, or CRM systems
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infrastructure to support predictive analytics, recommendation, and dynamic pricing. Create pipelines and databases capable of aggregating and organizing information from multiple heterogeneous sources. O5
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that enhance population health programs and clinical enterprise operations. Work with quantitative sciences and clinical faculty to evaluate predictive models and innovation pilots and help disseminate results