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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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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
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uncertainty factors originating from IoE devices and system dynamics, combining data-driven learning with knowledge-based modelling techniques. The developed methods will be evaluated in representative energy
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. (phenomenological) models You are self-driven and able to work independently but also happy to contribute to a team effort in an enthusiastic group of scientists and engineers working on a common theme. You are
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scientific career and the future of ocean technologies. This position empowers talented scientists to pursue bold, curiosity-driven research, build an independent profile, and turn ideas into impactful
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academic 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
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, data analytics, or decision-support systems Manufacturing systems modelling, simulation, or optimisation Production planning and control or operations management Industrial digitalisation and data-driven
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8 Mar 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Computer engineering Engineering » Electrical engineering Engineering » Sound engineering Computer
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
. Lab Research: • AI-Driven Algorithms & Software: Develop deep leering/machine learning/statistical based algorithms to elucidate lncRNAs, fusion transcripts, RNA modifications, and circular RNAs in