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clinical AI prediction models using multicenter datasets. Collaborating closely with fellow PhD candidates, clinicians, data scientists, and technical experts. Co-creating dashboards and alerting methods
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health record (EHR) data and continuous monitoring data from wearables and cameras. Developing and validating clinical AI prediction models using multicenter datasets. Collaborating closely with fellow PhD
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a PhD degree in civil engineering, data science, applied mathematics, operations research, or related fields have research expertise which comprises quantitative transport modelling, data analytics
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experiences by mobile apps and virtual assistants. As an Assistant/Associate Professor you will: carry out innovative research in the field of data-driven and Artificial Intelligence (AI)-driven modelling
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for a PhD/Postdoc position within the Control Systems Technology section at the Department of Mechanical Engineering. This project focuses on developing model predictive control (MPC) algorithms
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-impact, multidisciplinary research. Position Description We are seeking an ambitious and motivated PhD candidate to contribute to the design, testing, and evaluation of next-generation sustainable
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We invite highly motivated students with a strong background in systems and control to apply for a PhD/Postdoc position within the Control Systems Technology section at the Department of Mechanical
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institutes, and industrial partners, ensuring a unique environment for high-impact, multidisciplinary research. Position Description We are seeking an ambitious and motivated PhD candidate to contribute
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Vacancies Assistant/Associate Professor position in AI-Driven Transport Modelling and Prediction Key takeaways Research in the Transport Studies group focuses on interactions between smart mobility
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Your job Bring structure, clarity, and hands-on support to managing a platform for data collection and modelling Are you analytically strong, enjoy bringing order to complex data flows, and a team