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demonstrated the efficacy of employing machine learning approaches to furnish engineers with a rapid computational asset for structural design and monitoring. Given that numerical models incorporating multi
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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advanced engineering approaches, including model-based engineering methods, digital representations of systems and processes, immersive engineering environments and data-driven engineering techniques
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to: Develop mechanistic and data-driven models to analyse concentration–response relationships and biological readouts from advanced in vitro assays Apply statistical and computational methods to quantify
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impactful, application-driven research. This position supports a strategic research project on full electric harbour craft microgrid modelling, onboard energy management systems (EMS), and hardware-in
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engineering What you will do Develop grey-box models that combine first-principles multiphase flow descriptions with data-driven components Formulate and implement parameter estimation and system identification
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of Technology , we conduct advanced research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish
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27695, United States of America [map ] Subject Areas: Data-driven Modeling, Computational Biology Appl Deadline: 2025/10/02 04:59 AM (posted 2025/08/14 05:00 AM) Position Description: Apply Position
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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation